JP6980270B2 - Approximate sensory evaluation method of target sound under background noise and approximate sensory evaluation system of target sound under background noise - Google Patents

Description

The present invention is an approximate sensory evaluation method for a target sound under background noise and an object under background noise, which performs an approximate sensory evaluation having a high correlation with the sensory evaluation of the audible impression of the target sound generated from the object to be evaluated under background noise. Regarding the approximate sensory evaluation system of sound.

Generally, indicators such as noise level, power level, and loudness are used to evaluate the noise emitted from products (for example, JIS Z8737-1, JIS Z8733, ISO 532, etc.). These are appropriate indexes for evaluating the loudness of the radiated sound peculiar to the product to be evaluated, but when the product is used, the radiated sound of the product is "whether or not it is anxious" for humans. The sensory evaluation based on the impression of hearing may be an inappropriate evaluation. When the product is actually used, there is not a little background noise (sound other than the radiated sound of the product), and part or all of the product sound is buried in the background noise and may not be heard. At this time, no matter how loud the noise level, power level, or loudness of the product is, the radiated sound of the product may be judged by the user as "uninteresting sound". This phenomenon is widely recognized as the "masking effect".

When the noise source of background noise (noise other than the main sound source), which is background noise, is far away, the background noise level differs depending on the position (height) in the target building, so background noise according to the height of the prediction target point. A technique for predicting the noise level at a prediction target point with high accuracy in consideration of the level has been proposed (see, for example, Patent Document 1). In addition, multiple types of sounds emitted when the device operates are evaluated by the SD method, factor analysis is performed on the evaluation results, and covariance structure analysis is performed on the acoustic physical quantities, factors, and discomfort of the sounds. A technique for quantitatively evaluating discomfort by modeling and quantifying the results (converted to the acoustic physical quantity of the sound generated by the device) has also been proposed (see, for example, Patent Document 2).

Japanese Unexamined Patent Publication No. 2004-144661 JP-A-2007-192620

However, since the inventions described in Patent Document 1 and Patent Document 2 do not consider the masking effect, their evaluation results do not always match the actual hearing sensation. Therefore, at the noise level predicted by the invention described in Patent Document 1, it is not possible to appropriately evaluate whether or not the radiated sound from the product is anxious. Similarly, the degree of anxiety (audible impression) of whether or not the radiated sound from the product is anxious is appropriately evaluated only by the unpleasantness of noise predicted by the invention described in Patent Document 2. Can't.

In addition, the sign sound for the purpose of conveying some kind of message is output in various environments, and it is important that the volume is sufficient to call attention. Therefore, if the alarm sound for notifying an emergency situation cannot be heard or is difficult to hear due to the background noise, it is not possible to call attention to the people to be notified, and the function as a sign sound cannot be fulfilled. In this way, it is useful to be able to evaluate the degree of attention (audible impression) as to whether or not the sign sound output from the sign sound source calls attention under background noise. There is no function.

Therefore, the present invention can quantitatively perform an approximate sensory evaluation having a high correlation with the sensory evaluation of the audible impression of the target sound generated from the object to be evaluated under the background noise. It is an object of the present invention to provide an evaluation method and an approximate sensory evaluation system for a target sound under background noise to which the approximate sensory evaluation method is applied.

In order to solve the above-mentioned problems, the invention according to claim 1 is an object under background noise, which performs an approximate sensory evaluation having a high correlation with the sensory evaluation of the auditory impression of the target sound generated from the object to be evaluated under background noise. It is an approximate sensory evaluation method for sound.
The target sound acquisition step for acquiring the target sound generated from the evaluated object, and
The background noise acquisition step for acquiring the background noise in the usage environment of the object to be evaluated, and
A pseudo-random signal creation step for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired in the background noise acquisition step.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired in the target sound acquisition step and the pseudo random signal created in the pseudo random signal creation step. Creation steps and
And loudness N _'subject of the target sound acquired by the target sound obtaining step, the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating step, a loudness N _subject mix sound created by the mix sound source generating step , The loudness calculation step to be obtained respectively,
From the loudness N'subject of the target sound obtained in the loudness calculation step, the roughness calculation step of _{obtaining the roughness R'subject} of the target sound, and
By using the loudness _N'subject and the roughness _R'subject of the target sound, the overall coefficient α in the following equation (1) for obtaining the evaluation estimated value EST'of the audible impression of the target sound from the evaluated object without considering the background noise. The threshold loudness N ″ _subject set in advance as an acceptable or target value as the target sound generated from the evaluated object, and the threshold value preset as the allowable or target value as the target sound generated from the evaluated object. Roughness R ″ _subject , a loudness coefficient A preset according to the target sound generated from the evaluated object, a roughness coefficient B preset according to the target sound generated from the evaluated object, and the evaluated object. The following equation (2) is used using a correction value C preset according to the target sound generated from the object and an evaluation standard threshold value EST ″ preset as a boundary value serving as an evaluation standard for the target sound generated from the object to be evaluated. ) To calculate the overall coefficient α and
EST'= α (A x _N'subject + B x _R'subject + C) ... (1)
α = EST ″ / (A × N ″ _subject ＋ B × R ″ _subject ＋ C)… (2)
From the loudness N _subject and loudness N _BGN obtained in the loudness calculation step, a roughness R _'subject which has been determined by the roughness calculation step, the whole was determined by the total coefficient α calculating step coefficient α and, the considering background noise The evaluation estimation value calculation step for obtaining the evaluation estimation value EST of the auditory impression of the target sound from the evaluation object by the following equation (3), and the evaluation estimation value calculation step.
EST = α {A × (N _subject −N _BGN ) + B × R ′ _subject + C}… (3)
An approximate sensory evaluation step for performing an approximate sensory evaluation of the target sound by comparing the evaluation estimated value of the equation (3) obtained in the evaluation estimated value calculation step with the evaluation reference threshold.
It is characterized by doing.

In order to solve the above-mentioned problems, the invention according to claim 2 performs an approximate sensory evaluation of an audible impression with respect to a target sound generated from an object to be evaluated and an approximate sensory evaluation having a high correlation with the approximate sensory of the target sound under background noise. It ’s an evaluation method.
The target sound acquisition step for acquiring the target sound generated from the evaluated object, and
The background noise acquisition step for acquiring the background noise in the usage environment of the object to be evaluated, and
A pseudo-random signal creation step for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired in the background noise acquisition step.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired in the target sound acquisition step and the pseudo random signal created in the pseudo random signal creation step. Creation steps and
And loudness N _'subject of the target sound acquired by the target sound obtaining step, the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating step, a loudness N _subject mix sound created by the mix sound source generating step , The loudness calculation step to be obtained respectively,
From the loudness N'subject of the target sound obtained in the loudness calculation step, the roughness calculation step of _{obtaining the roughness R'subject} of the target sound, and
_{From the loudness N subject of the} mixed sound source obtained in the loudness calculation step and _{the loudness N BGN} of the pseudo-random signal, the _{sharpness calculation step of obtaining} the sharpness S'subject of the target sound, and the sharpness calculation step.
The 'The use of _subject, evaluation estimate EST of auditory impression of target sound from the evaluation object without considering the background noise' loudness N _'subject and roughness R' _subject and sharpness S of the target sound underlying _sharpness obtained formula ( _{The overall coefficient α in 4) is the threshold loudness N ″ subject} preset as an acceptable or target value as the target sound generated from the evaluated object, and the allowable or target value as the target sound generated from the evaluated object. Depending on the threshold roughness R ″ _{subject preset as, the threshold sharpness S ″ subject} preset as an acceptable or target value as the target sound generated from the evaluated object, and the target sound generated from the evaluated object. A preset loudness coefficient A, a preset roughness coefficient B according to the target sound generated from the evaluated object, a sharpness coefficient C preset according to the target sound generated from the evaluated object, and the above. Using a correction value D preset according to the target sound generated from the evaluated object and an evaluation standard threshold EST ″ _{sharpness preset as a boundary value serving as an evaluation standard for the target sound generated from the evaluated object.} The step of calculating the overall coefficient α calculated by the following equation (5) and
_{EST 'sharpness = α (A ×} N' subject + B × R 'subject + C × S' subject + D) ... (4)
α = EST ″ _sharpness / (A × N ″ _subject ＋ B × R ″ _subject ＋ C × S ″ _subject ＋ D)… (5)
And loudness N _subject and loudness N _BGN obtained in the loudness calculation step, 'and _subject, sharpness S obtained by the sharpness calculating step' roughness R which has been determined by the roughness calculation step and _subject, calculated by the total coefficient α calculating step _{From the overall coefficient α, the evaluation estimation value calculation step for obtaining} the evaluation estimation value EST sharpness of the auditory impression of the target sound from the evaluated object in consideration of the background noise by the following equation (6), and
EST _sharpness = α {A × (N _subject −N _BGN ) ＋ B × R ′ _subject ＋ C × S ′ _subject ＋ D}… (6)
An approximate sensory evaluation step for performing an approximate sensory evaluation of the target sound by comparing _{the evaluation estimated value EST sharpness} of the equation (6) obtained in the evaluation estimated value calculation step with the evaluation reference threshold EST ″ _sharpness.
It is characterized by doing.

In order to solve the above-mentioned problems, the invention according to claim 3 performs an approximate sensory evaluation of an audible impression with respect to a target sound generated from an object to be evaluated and an approximate sensory evaluation having a high correlation with the approximate sensory of the target sound under background noise. It ’s an evaluation method.
The target sound acquisition step for acquiring the target sound generated from the evaluated object, and
The background noise acquisition step for acquiring the background noise in the usage environment of the object to be evaluated, and
A pseudo-random signal creation step for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired in the background noise acquisition step.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired in the target sound acquisition step and the pseudo random signal created in the pseudo random signal creation step. Creation steps and
And loudness N _'subject of the target sound acquired by the target sound obtaining step, the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating step, a loudness N _subject mix sound created by the mix sound source generating step , The loudness calculation step to be obtained respectively,
_{From the loudness N subject of the} mixed sound source obtained in the loudness calculation step and _{the loudness N BGN} of the pseudo-random signal, the _{sharpness calculation step of obtaining} the sharpness S'subject of the target sound, and the sharpness calculation step.
Wherein by using the loudness N _'subject and sharpness S' _subject of the target sound, the overall coefficient in the evaluation estimates _EST 'sharpness2 is obtained the following equation auditory impression (7) with respect to the target sound from the evaluation object without considering the background noise α is preset as a threshold loudness N ″ _subject preset as an acceptable or target value as a target sound generated from the evaluated object, and as an acceptable or target value as a target sound generated from the evaluated object. The threshold sharpness S ″ _subject , the loudness coefficient A preset according to the target sound generated from the evaluated object, the sharpness coefficient B preset according to the target sound generated from the evaluated object, and the evaluated subject. The following formula is used using a correction value C preset according to the target sound generated from the object and an evaluation standard threshold value EST ″ _{sharpness2 preset as a boundary value serving as an evaluation standard for the target sound generated from the object to be evaluated.} The step of calculating the overall coefficient α obtained by (8) and
_{EST 'sharpness2 = α (A ×} N' subject + B × S 'subject + C) ... (7)
α = EST ″ _sharpness2 / (A × N ″ _subject ＋ B × S ″ _subject ＋ C)… (8)
From the loudness N _subject and loudness N _BGN obtained in the loudness calculation step, the sharpness S _'subject which has been determined by the sharpness calculating step, the whole was determined by the total coefficient α calculating step coefficient α and, the considering background noise _{The evaluation estimation value calculation step for obtaining the evaluation estimation value EST sharpness 2} of the auditory impression of the target sound from the evaluation object by the following equation (9), and
EST _sharpness2 = α {A × (N _subject −N _BGN ) + B × S ′ _subject + C}… (9)
An approximate sensory evaluation step for performing an approximate sensory evaluation of the target sound by comparing _{the evaluation estimated value EST sharpness2} of the equation (9) obtained in the evaluation estimated value calculation step with the evaluation reference threshold EST ″ _sharpness2.
It is characterized by doing.

Further, the invention according to claim 4 is the approximate sensory evaluation method for a target sound under the background noise according to any one of claims 1 to 3, wherein the target sound is an object generated from an object to be evaluated. As noise, the degree of concern about whether the target noise generated from the object to be evaluated is anxious or not under the background noise is obtained as an evaluation estimated value, and the background is based on the evaluation estimated value of the degree of anxiety. It is characterized by making an approximate sensory evaluation of the degree of concern about the target noise under noisy conditions.

Further, the invention according to claim 5 is the approximate sensory evaluation method for a target sound under the background noise according to any one of claims 1 to 3, wherein the target sound is evaluated as a sine sound source. The sign sound output from the object is used, and the degree of alerting whether the sign sound output from the evaluated object calls attention or does not call attention under the background noise is obtained as an evaluation estimated value, and the evaluation estimation of the above-mentioned alerting degree is obtained. It is characterized in that the degree of attention of the sine sound under the background noise is approximately sensory-evaluated based on the value.

In order to solve the above-mentioned problems, the invention according to claim 6 is an object under background noise, which performs an approximate sensory evaluation having a high correlation with the sensory evaluation of the audible impression of the target sound generated from the object to be evaluated under background noise. It is an approximate sensory evaluation system for sound.
A target sound acquisition device that acquires the target sound generated from the evaluated object, and
A background noise acquisition device that acquires background noise in the environment in which the object to be evaluated is used,
Using the target sound acquired by the target sound acquisition device and the background noise acquired by the background noise acquisition device, evaluation estimation of the audible impression of the target sound in consideration of the background noise in the usage environment of the object to be evaluated. A target sound evaluation device that obtains a value and performs an approximate sensory evaluation of the target sound generated from the evaluated object based on the evaluation estimated value.
It is characterized by having.

Further, the invention according to claim 7 is the approximate sensory evaluation system for a target sound under the background noise according to claim 6, wherein the target sound evaluation device is used.
A pseudo-random signal creating means for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired by the background noise acquisition device.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired by the target sound acquisition device and the pseudo random signal created by the pseudo random signal creating means. The means of creation and
And loudness N _'subject of the acquired target sound in the target sound acquisition apparatus, and the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating means, the loudness N _subject mix sound created by the mix sound creation means , The loudness calculation method to be obtained respectively,
'From _subject, the roughness R of the target sound' loudness N of the target sound which has been determined by the loudness calculating means and roughness calculating means for determining a _subject,
A threshold loudness storage means for storing _{a threshold loudness N ″ subject} preset as an acceptable or target value as a target sound generated from the evaluated object, and
A threshold roughness storage means for storing _{a threshold roughness R ″ subject} preset as a permissible or target value as a target sound generated from the evaluated object, and a threshold roughness storage means.
A loudness coefficient storage means for storing a preset loudness coefficient A according to a target sound generated from the evaluated object, and a loudness coefficient storage means.
A roughness coefficient storage means for storing a preset roughness coefficient B according to a target sound generated from the evaluated object, and a roughness coefficient storage means.
A correction value storage means for storing a correction value C preset according to a target sound generated from the evaluated object, and a correction value storage means.
An evaluation standard threshold storage means for storing a preset evaluation standard threshold EST "as a boundary value that serves as an evaluation standard for the target sound generated from the evaluated object, and an evaluation standard threshold storage means.
By using the loudness _N'subject and the roughness _R'subject of the target sound, the overall coefficient α in the following equation (1) for obtaining the evaluation estimated value EST'of the auditory impression of the target sound from the evaluated object without considering the background noise. With the means for calculating the overall coefficient α obtained by the following equation (2),
EST'= α (A x _N'subject + B x _R'subject + C) ... (1)
α = EST ″ / (A × N ″ _subject ＋ B × R ″ _subject ＋ C)… (2)
From the loudness N _subject and loudness N _BGN which has been determined by the loudness calculating means, and the roughness R _'subject which has been determined by the roughness calculating means, the whole was determined by the total coefficient α calculating means coefficient α and, the considering background noise An evaluation estimation value calculation means for obtaining an evaluation estimation value EST of the auditory impression of the target sound from the evaluation object by the following equation (3), and
EST = α {A × (N _subject −N _BGN ) + B × _R'subject + C}… (3)
An approximate sensory evaluation means that performs an approximate sensory evaluation of the target sound by comparing the evaluation estimated value EST of the equation (3) obtained by the evaluation estimated value calculating means with the evaluation reference threshold EST ".
It is characterized by having.

Further, the invention according to claim 8 is the approximate sensory evaluation system for a target sound under the background noise according to claim 6, wherein the target sound evaluation device is used.
A pseudo-random signal creating means for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired by the background noise acquisition device.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired by the target sound acquisition device and the pseudo random signal created by the pseudo random signal creating means. The means of creation and
And loudness N _'subject of the acquired target sound in the target sound acquisition apparatus, and the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating means, the loudness N _subject mix sound created by the mix sound creation means , The loudness calculation method to be obtained respectively,
'From _subject, the roughness R of the target sound' loudness N of the target sound which has been determined by the loudness calculating means and roughness calculating means for determining a _subject,
And loudness N _subject mix sound which has been determined by the loudness calculating means, and a loudness N _BGN pseudo random signal, a sharpness calculating means for calculating a sharpness S _'subject of the target sound,
A threshold loudness storage means for storing _{a threshold loudness N ″ subject} preset as an acceptable or target value as a target sound generated from the evaluated object, and
A threshold roughness storage means for storing _{a threshold roughness R ″ subject} preset as a permissible or target value as a target sound generated from the evaluated object, and a threshold roughness storage means.
A threshold sharpness storage means for storing _{a threshold sharpness S ″ subject} preset as a permissible or target value as a target sound generated from the evaluated object, and
A loudness coefficient storage means for storing a preset loudness coefficient A according to a target sound generated from the evaluated object, and a loudness coefficient storage means.
A roughness coefficient storage means for storing a preset roughness coefficient B according to a target sound generated from the evaluated object, and a roughness coefficient storage means.
A sharpness coefficient storage means for storing a preset sharpness coefficient C according to a target sound generated from the evaluated object, and a sharpness coefficient storage means.
A correction value storage means for storing a correction value D preset according to the target sound generated from the evaluated object, and a correction value storage means.
An evaluation standard threshold storage means for storing a _preset evaluation standard threshold EST ″ sharpness as a boundary value that serves as an evaluation standard for the target sound generated from the evaluated object, and
The 'The use of _subject, evaluation estimate EST of auditory impression of target sound from the evaluation object without considering the background noise' loudness N _'subject and roughness R' _subject and sharpness S of the target sound underlying _sharpness obtained formula ( The total coefficient α calculation means for obtaining the total coefficient α in 4) by the following equation (5),
_{EST 'sharpness = α (A ×} N' subject + B × R 'subject + C × S' subject + D) ... (4)
α = EST ″ _sharpness / (A × N ″ _subject ＋ B × R ″ _subject ＋ C × S ″ _subject ＋ D)… (5)
And loudness N _subject and loudness N _BGN obtained in the loudness calculation means, 'and _subject, sharpness S obtained by the sharpness calculating device' roughness R which has been determined by the roughness calculating means and the _subject, calculated by the total coefficient α calculating means _{From the overall coefficient α, the evaluation estimation value calculation means for obtaining} the evaluation estimation value EST sharpness of the auditory impression of the target sound from the evaluated object in consideration of the background noise by the following equation (6), and
EST _sharpness = α {A × (N _subject −N _BGN ) ＋ B × R ′ _subject ＋ C × S ′ _subject ＋ D}… (6)
An approximate sensory evaluation means that performs an approximate sensory evaluation of the target sound by comparing _{the evaluation estimated value EST sharpness} of the equation (6) obtained by the evaluation estimated value calculation means with the evaluation reference threshold EST ″ _sharpness.
It is characterized by having.

Further, the invention according to claim 9 is the approximate sensory evaluation system for a target sound under the background noise according to claim 6, wherein the target sound evaluation device is used.
A pseudo-random signal creating means for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired by the background noise acquisition device.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired by the target sound acquisition device and the pseudo random signal created by the pseudo random signal creating means. The means of creation and
And loudness N _'subject of the acquired target sound in the target sound acquisition apparatus, and the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating means, the loudness N _subject mix sound created by the mix sound creation means , The loudness calculation method to be obtained respectively,
And loudness N _subject mix sound which has been determined by the loudness calculating means, and a loudness N _BGN pseudo random signal, a sharpness calculating means for calculating a sharpness S _'subject of the target sound,
A threshold loudness storage means for storing _{a threshold loudness N ″ subject} preset as an acceptable or target value as a target sound generated from the evaluated object, and
A threshold sharpness storage means for storing _{a threshold sharpness S ″ subject} preset as a permissible or target value as a target sound generated from the evaluated object, and
A loudness coefficient storage means for storing a preset loudness coefficient A according to a target sound generated from the evaluated object, and a loudness coefficient storage means.
A sharpness coefficient storage means for storing a preset sharpness coefficient B according to a target sound generated from the evaluated object, and a sharpness coefficient storage means.
A correction value storage means for storing a correction value C preset according to a target sound generated from the evaluated object, and a correction value storage means.
An evaluation standard threshold storage means for storing a _preset evaluation standard threshold EST ″ sharpness2 as a boundary value as an evaluation standard for the target sound generated from the evaluated object, and
Wherein by using the loudness N _'subject and sharpness S' _subject of the target sound, the overall coefficient in the evaluation estimates _EST 'sharpness2 is obtained the following equation auditory impression (7) with respect to the target sound from the evaluation object without considering the background noise With the means for calculating the overall coefficient α, which obtains α by the following equation (8),
_{EST 'sharpness2 = α (A ×} N' subject + B × S 'subject + C) ... (7)
α = EST ″ _sharpness2 / (A × N ″ _subject ＋ B × S ″ _subject ＋ C)… (8)
From the loudness N _subject and loudness N _BGN which has been determined by the loudness calculating means, and the sharpness S _'subject which has been determined by the sharpness calculating device, the whole was determined by the total coefficient α calculating means coefficient α and, the considering background noise _{An evaluation estimation value calculation means for obtaining the evaluation estimation value EST sharpness 2} of the auditory impression of the target sound from the evaluation object by the following equation (9), and
_{EST sharpness2 = α {A × (} N subject -N BGN) + BS 'subject + C} ... (9)
An approximate sensory evaluation means that performs an approximate sensory evaluation of the target sound by comparing _{the evaluation estimated value EST sharpness2} of the equation (9) obtained by the evaluation estimated value calculation means with the evaluation reference threshold EST ″ _sharpness2.
It is characterized by having.

Further, the invention according to claim 10 is the approximate sensory evaluation system of the target sound under the background noise according to any one of claims 6 to 9, wherein the target sound acquisition device in the previous term is from the evaluated object. It is assumed that the target sound to be generated is acquired, and the target sound evaluation device obtains the degree of concern as whether the target noise generated from the evaluated object is anxious or not under the background noise as an evaluation estimated value. It is characterized in that the degree of anxiety of the target noise under the background noise is approximately sensory-evaluated based on the evaluation estimated value of the degree of anxiety.

Further, the invention according to claim 11 is the approximate sensory evaluation system for a target sound under the background noise according to any one of claims 6 to 9, wherein the target sound acquisition device serves as a sine sound source. It is assumed that the sign sound output from the evaluated object is acquired, and the target sound evaluation device determines the degree of alerting whether the sign sound output from the evaluated object calls attention or not under the background noise. It is characterized in that it is obtained as an evaluation estimated value, and based on the evaluation estimated value of the alertness degree, the attention alertness degree of the sine sound under the background noise is approximately sensory evaluated.

According to the present invention, it is possible to quantitatively perform an approximate sensory evaluation having a high correlation with the sensory evaluation of the auditory impression of the target sound generated from the object to be evaluated under the background noise. Therefore, by using this quantified approximate sensory evaluation as an index, it is possible to suppress the noise generated from the evaluated object under the background noise and to optimize the volume output from the evaluated object under the background noise. It will be easy.

It is a schematic block diagram which shows the approximate sensory evaluation system of the target sound under the background noise which concerns on 1st Embodiment of this invention. It is a schematic block diagram of the 1st application example which applied the approximate sensory evaluation system of the target sound under the background noise which concerns on 1st Embodiment to the degree of concern evaluation of the target noise under the background noise. In Experiment 1 in which the volume of the background noise was kept constant and the volume of the rattle noise was changed, the sensory evaluation result of the degree of concern about the rattle noise perceived under the background noise and the noise evaluation system of the first embodiment were used. It is a characteristic diagram which shows the correlation with the estimated value of the degree of anxiety obtained. The preset values obtained by multiple regression analysis in various verification tests conducted in the first application example of the first embodiment in order to obtain an estimated value of the degree of anxiety that is highly correlated with the sensory evaluation result, and each verification test. It is explanatory drawing which showed the ^{coefficient of determination R 2} which adjusted the degree of freedom in the list. It is a schematic block diagram of the 2nd application example which applied the approximate sensory evaluation system of the target sound under the background noise which concerns on 1st Embodiment to the attention degree evaluation of a sign sound under background noise. It is a schematic block diagram which shows the approximate sensory evaluation system of the target sound under the background noise which concerns on 2nd Embodiment of this invention. It is a schematic block diagram of the 1st application example which applied the approximate sensory evaluation system of the target sound under the background noise which concerns on 2nd Embodiment to the degree of concern evaluation of the target noise under the background noise. The preset values obtained by multiple regression analysis in various verification tests conducted in the first application example of the second embodiment in order to obtain an estimated value of the degree of anxiety that is highly correlated with the sensory evaluation result, and each verification test. It is explanatory drawing which showed the ^{coefficient of determination R 2} which adjusted the degree of freedom in the list. It is a schematic block diagram of the 2nd application example which applied the approximate sensory evaluation system of the target sound under the background noise which concerns on 2nd Embodiment to the attention degree evaluation of the sign sound under the background noise. It is a schematic block diagram which shows the approximate sensory evaluation system of the target sound under the background noise which concerns on 3rd Embodiment of this invention. It is a schematic block diagram of the 1st application example which applied the approximate sensory evaluation system of the target sound under the background noise which concerns on 3rd Embodiment to the degree of concern evaluation of the target noise under the background noise. The preset values obtained by multiple regression analysis in various verification tests conducted in the first application example of the third embodiment in order to obtain an estimated value of the degree of anxiety that is highly correlated with the sensory evaluation result, and each verification test. It is explanatory drawing which showed the ^{coefficient of determination R 2} which adjusted the degree of freedom in the list. It is a schematic block diagram of the 2nd application example which applied the approximate sensory evaluation system of the target sound under the background noise which concerns on 3rd Embodiment to the attention degree evaluation of the sign sound under the background noise.

Next, an embodiment of the approximate sensory evaluation method of the target sound under the background noise and the approximate sensory evaluation system of the target sound under the background noise according to the present invention will be described with reference to the accompanying drawings. The type of target sound to be evaluated is not particularly limited, and any sound heard under background noise may be used. The object of evaluation that should not be heard is the noise emitted from mechanical devices and the like. On the contrary, there are sign sounds such as buzzers and alarms as targets of evaluation that should be heard. In any case, according to the present invention, it is possible to quantitatively perform an approximate sensory evaluation so that a person can hear and feel a target sound under background noise.

FIG. 1 shows an approximate sensory evaluation system 1 for a target sound under a background noise according to a first embodiment to which the approximate sensory evaluation method for a target sound under the background noise according to the present invention is applied. Specifically, FIG. 1 shows a sound signal. It includes a collecting device 10 and a target sound evaluation device 20.

The sound signal collecting device 10 sets the target noise (rattle noise, sine sound, etc.) generated from the evaluated object 30 at the required position of the semi-anechoic chamber 41 (near the evaluated object 30 and at a position assumed to be the user's ear position). ) As a function as a target sound acquisition device, and the required position of the evaluated object usage environment 42 that imitates the office or bedroom where the evaluated object 30 is used (suitable for the product user to hear the environmental noise). It also has a function as a background noise acquisition device that acquires background noise from a possible position). The collected sound collected from the semi-anechoic chamber 41 and the environment for using the object to be evaluated 42 is recorded as a digital signal audio file or directly output to the target sound evaluation device 20.

As in the noise collecting device 10 shown in FIG. 1, it is necessary to simultaneously collect the target sound from the semi-anechoic chamber 41 and the background noise from the environment 42 in which the object to be evaluated is used by the pair of sound collecting microphones 11. Instead, the target sound and the background noise may be collected separately, stored in the main body, and the collected audio file may be transmitted after being connected to the target sound evaluation device 20. Further, the sound signal collecting device 10 and the target sound evaluation device 20 are not configured separately to be connected by a signal cable or the like, but are realized by software using a device having an integrated structure (for example, a notebook PC to which a microphone is connected). It may be used as a device).

On the other hand, the target sound evaluation device 20 obtains an evaluation estimated value in consideration of the background noise in the environment in which the evaluated object 30 is actually used by using the target sound and the background noise collected by the sound signal collecting device 10. The listening evaluation of the target sound generated from the evaluation object 30 is performed.

In order to quantitatively obtain the evaluation estimated value of the auditory impression of the target sound by the target sound evaluation device 20, for example, a calculation having a high correlation with the sensory evaluation result (evaluation result by human sense) by the pair comparison method of Thurston. You need to find the formula. As a premise, among the psychoacoustic parameters that are greatly related to noise evaluation, loudness (value that expresses the sound intensity felt by hearing) and roughness (value that expresses the roughness of sound) are used, and background noise is not considered. The following equation (1) is tentatively defined as a relational expression for obtaining an evaluation estimated value of the auditory impression of the target sound from the evaluation object 30.

EST'= α (A x _N'subject + B x _R'subject + C) ... (1)

In equation (1), EST'is an evaluation estimated value of the auditory impression of the target sound from the evaluated object 30 without considering the background noise, and _N'subject is the loudness of the target sound radiated from the evaluated object 30 (unit is sone). ), R _'subject the roughness of the target sound emitted from the evaluation object 30 (in Asper), a is N' loudness coefficient according to the _subject, B is the roughness coefficient according to the R _'subject, C is the correction value, alpha Is the total coefficient over the whole.

Here, in order to make the overall coefficient α a meaningful numerical value, the _{threshold loudness N ″ subject} [sone] is applied to the equation (1) _{instead of the loudness N ′ subject} [sone] of the target sound radiated from the object to be evaluated 30. and, applying, from the evaluation object 30 without considering the background noise in equation (1) the threshold roughness R _"subject [asper] in place of the roughness R _'subject [asper] of the target sound emitted from the evaluation object 30 By applying the evaluation reference threshold EST ″ for the target sound from the evaluated object 30 that does not consider the background noise in place of the evaluation estimated value EST ′ for the audible impression of the target sound, the equation (1) ′ And.

EST "= α (A x N" _subject + B x R " _subject + C) ... (1)'

The threshold loudness N ″ _subject [sone] is a loudness value that can be tolerated as a target sound emitted from the evaluated object 30, or a target loudness value as a target sound emitted from the evaluated object 30. Similarly, the threshold roughness R ″ _subject [asper] is a value of roughness that is acceptable as a target sound emitted from the object to be evaluated 30, or a value of roughness that is a target as a target sound emitted from the object to be evaluated 30. .. Further, the evaluation reference threshold value EST "is a boundary value for judging the target sound radiated from the evaluated object 30 (for example, determining whether it is worrisome or not, whether it can be heard well or not). From the equation (1)', the total coefficient α can be obtained by the following equation (2).

α = EST ″ / (A × N ″ _subject ＋ B × R ″ _subject ＋ C)… (2)

Therefore, once the appropriate loudness coefficient A, roughness coefficient B, and correction value C are determined, the evaluation and estimation of the auditory impression of the target sound from the evaluated object 30 without considering the background noise from the equations (1) and (2). The value EST'can be quantitatively determined. Of course, in order for the evaluation estimated value EST'of the auditory impression of the target sound from the object to be evaluated 30 that does not consider the background noise to have an extremely high correlation with the sensory evaluation result, the loudness coefficient A, the roughness coefficient B, and the correction value C should be used. In addition, the threshold loudness N ″ _subject [sone] and the threshold roughness R ″ _subject [asper] must also be set to appropriate values. For this purpose, it is effective to perform multiple regression analysis of the results of the sensory evaluation test actually performed to find an appropriate value.

What can be obtained from the above-mentioned equations (1) and (2) is the evaluation estimated value EST'of the auditory impression of the target sound from the evaluated object 30 without considering the background noise, but the evaluated object 30 The usage environment is rarely silent, and the target sound from the object to be evaluated 30 is heard together with some background noise. Therefore, in order to perform general-purpose noise evaluation, it is necessary to quantitatively obtain the evaluation estimated value EST of the audible impression of the target sound from the object to be evaluated 30 including the background noise.

Therefore, the background is based on the following equation (3) using _{the loudness N subject} [sone] of mixed noise, which is a mixture of the target sound from the object to be evaluated 30 and the background noise, and _{the loudness N BGN} [sone] of only the background noise. The evaluation estimated value EST of the auditory impression with respect to the target sound from the object to be evaluated 30 including noise is obtained.

EST = α {A × (N _subject −N _BGN ) + B × R ′ _subject + C}… (3)

The target sound evaluation device 20 that obtains the evaluation estimated value EST of the audible impression of the target sound from the object to be evaluated 30 by the method as described above and evaluates the target sound includes a filter means 21, a pseudo-random signal creating means 22, and a mixed sound source. Creation means 23, loudness calculation means 24a, roughness calculation means 24b, total coefficient α calculation means 25, preset value storage unit 26 (threshold loudness storage means 26a, threshold roughness storage means 26b, loudness coefficient storage means 26c, roughness coefficient storage means 26d). , Correction value storage means 26e, evaluation reference threshold storage means 26f), evaluation estimation value calculation means 27, approximate sensory evaluation means 28, and evaluation result notification means 29 are provided.

When the signal of the target sound is input from the sound signal collecting device 10, the filter means 21 transmits only the sound in the frequency band that greatly contributes to the audible impression among the target sounds generated from the evaluated object 30. It can be configured with a frequency filter or the like. If it is not necessary to extract a specific frequency band from the target sound of the object to be evaluated 30 acquired from the semi-anechoic chamber 41, the entire band may be passed.

The pseudo-random signal creating means 22 creates a pseudo-random signal, which is a pseudo-random signal, based on the background noise from the sound signal collecting device 10. Specifically, the background noise is frequency-analyzed by 1/3 octave band analysis, and a pseudo-random signal imitating the waveform is created based on the analysis result. For the 1/3 octave band analysis, hardware such as a real-time analyzer may be used, or an analysis function realized by PC-based software may be used. Further, the 1/3 octave band pseudo-random signal can be realized by filtering the white noise created by the signal generator or the like using an equalizer or the like for each 1/3 octave band band. The pseudo-random signal thus obtained is supplied to the mixed sound source creating means 23 and the loudness calculating means 24a. It is desirable that the sampling frequency and recording time (number of samples) of the pseudo-random signal to be created match the signal of the target sound.

The mixed sound source creating means 23 combines the target sound that has passed through the filter means 21 and the pseudo-random signal created by the pseudo-random signal creating means 22 to create a mixed sound source that is a mixed sound signal. The combination of the two audio signals may be performed by using hardware such as an audio mixer, or by using PC-based mixing software or the like. The mixed sound source thus obtained is supplied to the loudness calculation means 24a.

_{The loudness calculation means 24a received at least the loudness N BGN} of the pseudo-random signal created by the pseudo-random signal creating means 22, _{the loudness N subject of the} mixed sound source created by the mixed sound source creating means 23, and the filter means 21. the loudness N _'subject of the target sound that does not contain background noise, seek, respectively. _{Then, the loudness N'subject} is supplied from the loudness calculation means 24a to the roughness calculation means 24b, _{and the loudness N subject} , the loudness N _BGN, and the loudness _N'subject are supplied from the loudness calculation means 24a to the evaluation estimation value calculation means 27. The loudness can be obtained from the 1/3 octave band analysis result of the noise signal by a known existing calculation method such as DIN 45631 / A. There are multiple methods for calculating loudness, but it is desirable to calculate as unsteady loudness or percentile loudness (N5, N10 loudness).

Roughness calculation means 24b is, loudness N of the target sound without the background noise calculated in the loudness calculation means 24a of the _subject 'from the _subject, the roughness R of the target noise in it contains a variation component of how much the time history' demand. This roughness _R'subject is supplied to the evaluation estimation value calculation means 27.

The total coefficient α calculation means 25 calculates the total coefficient α necessary for obtaining the evaluation estimated value EST by the above-mentioned equation (2), and supplies the calculated total coefficient α to the evaluation estimated value calculation means 27. Various numerical information necessary for the calculation is provided from the preset value storage unit 26 that can be arbitrarily set by the user or the like of the target sound evaluation device 20. _{Specifically, a threshold loudness N ″ subject} preset as an acceptable or target value as a target sound generated from the evaluated object 30 is supplied from the threshold loudness storage means 26a and is allowed as a target sound generated from the evaluated object 30. Alternatively, a threshold roughness R ″ _subject preset as a target value is supplied from the threshold roughness storage means 26b, and a loudness coefficient A preset according to the target sound generated from the evaluated object 30 is supplied from the loudness coefficient storage means 26c. The roughness coefficient B supplied and preset according to the target sound generated from the evaluated object 30 is supplied from the roughness coefficient storage means 26d, and the correction value C preset according to the target sound generated from the evaluated object 30 is supplied. The evaluation reference threshold EST "which is supplied from the correction value storage means 26e and is preset as a boundary value for approximate sensory evaluation of the target sound generated from the evaluated object 30 is supplied from the evaluation reference threshold storage means 26f.

In determining each value to be set in the preset value storage unit 26, the loudness _N'subject [sone] of _{the target sound calculated by the loudness calculation means 24a, the loudness N BGN} [sone] of the pseudo-random signal, and the mixed sound source. Since it is useful to refer to the loudness N _{subject [sone] and the roughness R'subject} [asper] of the target sound calculated by the roughness calculation means 24b, these values are visually displayed and the target sound evaluation device 20 is used. It may be possible for the user to confirm. Further, the preset value to be stored in each storage means of the preset value storage unit 26 is not limited to one type, and a plurality of sets of preset values corresponding to the target sound from the evaluated object 30 are stored to store the target sound. It will be highly convenient if the combination of each preset value according to the type can be recalled and used.

_{The evaluation estimation value calculation means 27 includes the loudness N BGN} [sone] of the pseudo-random signal obtained by the loudness calculation means 24a, _{the loudness N subject} [sone] of the mixed sound source, and the total coefficient α obtained by the total coefficient α calculation means 25. _{, Roughness R'subject} [asper] obtained by the roughness calculation means 24b, and the loudness coefficient A, the roughness coefficient B, and the correction value C provided by the preset value storage unit 26 with respect to the target sound emitted from the object to be evaluated 30. The evaluation estimation value of the hearing impression (the evaluation estimation value of the hearing impression considering the masking effect due to the background noise) is obtained by the calculation of the above equation (3).

The approximate sensory evaluation means 28 compares the evaluation estimated value obtained by the evaluation estimated value calculating means 27 with the evaluation reference threshold EST ″ set and stored in the evaluation reference threshold storage means 26f, thereby performing sensory evaluation of the audible impression. Approximate sensory evaluation with high correlation (approximate sensory evaluation) is performed. For example, if "1" is set as the evaluation reference threshold EST ", the evaluation estimated value EST can be calculated by the following equation (4). ..

EST = 1 / (A × N ″ _subject ＋ B × R ″ _subject ＋ C) × {A × (N _subject −N _BGN ) ＋ B × R ′ _subject ＋ C}… (4)

When the "evaluation estimated value EST" calculated by the equation (4) is larger than 1, the approximate sensory evaluation can be performed as "anxious sound" or "appropriate volume", and the calculated "evaluation estimated value EST" is 1. When it is smaller, it can be evaluated as an approximate sensory such as "uninteresting sound" or "difficult to hear volume". If the calculated "evaluation estimated value EST" is the same value "1" as the "evaluation standard threshold value EST" ", it may be arbitrarily determined which one is to be distributed. Of course, when another value is given to the "evaluation estimated value EST", the approximate sensory evaluation can be performed in the same manner using this as the evaluation standard.

The evaluation result notification means 29 notifies the user of the target sound evaluation device 20 of the evaluation result by the approximate sensory evaluation means 28, and can be visually displayed on the screen or output by a speaker. More simply, the quality of the evaluation can be reported by turning on the green lamp or the red lamp.

As described above, according to the approximate sensory evaluation system 1 of the target sound under the background noise according to the present embodiment, the approximation with high correlation with the sensory evaluation of the audible impression with respect to the target sound generated from the object to be evaluated 30 under the background noise. Sensory evaluation can be performed quantitatively. Therefore, by using this quantified approximate sensory evaluation as an index, the noise generated from the evaluated object 30 under the background noise is suppressed, and the volume output from the evaluated object 30 under the background noise is optimized. Will be easy.

Next, the approximate sensory evaluation system 1 of the target sound under the background noise according to the present embodiment is used for the approximate sensory evaluation having a high correlation with the sensory evaluation of the degree of concern (audible impression) of the target noise under the background noise. The first application example of the applied first embodiment will be described. The anxiety degree evaluation system 1'of the target noise under the background noise shown in FIG. 2 is composed of a sound signal collecting device 10'and a noise evaluation device 20'.

The sound signal collecting device 10'is a function of a target noise acquisition device and a target product 30 that collects target noise generated from a target product 30'such as office equipment that is a source of noise from a semi-anechoic chamber 41 with a sound collecting microphone 11. It has a function of a background noise acquisition device that collects the background noise of the product usage environment 42'in the office where ′ is used by the sound collecting microphone 11. The noise evaluation device 20'has a function of approximate sensory evaluation of the degree of concern about whether the target noise is anxious or not from the target noise and the background noise collected by the sound signal collecting device 10'.

The noise radiated from various mechanical devices can be roughly divided into steady noise, which is considered to have a small level change and is considered to be almost constant, and variable noise, which is accompanied by a level change. Steady noise includes discrete frequency noise with remarkable frequency peak components and wideband noise generated over a wide frequency range. On the other hand, the fluctuating noise includes separation impact noise with a time interval of about 0.2 seconds or more and quasi-steady noise that is continuously generated at an extremely short interval (less than 0.2 seconds) with a substantially constant level. .. Among the quasi-steady noises, rattle noise such as the rattling noise of a transmission is jarring and tends to cause discomfort. Therefore, in the following explanation, the noise radiated from the target product 30'is limited to rattle noise. As described above, the anxiety degree evaluation system 1'of the target noise under the background noise can be applied to the approximate sensory evaluation of other mechanical noise in general.

The noise evaluation device 20'is a filter means 21, a pseudo-random signal creating means 22, a mixed sound source creating means 23, a loudness calculating means 24a, a roughness calculating means 24b, an overall coefficient α calculating means 25, and a preset value storage unit 26' (threshold loudness). Storage means 26a, threshold roughness storage means 26b, loudness coefficient storage means 26c, roughness coefficient storage means 26d, correction value storage means 26e, allowable threshold storage means 26f'), degree of concern estimation value calculation means. It is provided with 27', anxiety degree evaluation means 28', and evaluation result notification means 29.

The filter means 21 receives the signal of the target noise (noise including rattle noise) from the sound signal collecting device 10', cuts the target noise generated from the target product 30', and adds the sound within the vibration frequency range. A noise component having a frequency higher than the vibration frequency is transmitted and supplied to the mixed sound source creating means 23 and the loudness calculating means 24a. This is because when evaluating rattle noise, rattle noise is noticeably heard at frequencies higher than the excitation frequency, whereas within the excitation frequency range, the sound from the exciter that excites the rattle noise source is the main sound. This is because it becomes an ingredient. That is, by cutting the sound within the vibration frequency range from the signal of the target noise collected by the sound signal collecting device 10', the noise component unnecessary for the rattle noise evaluation can be removed.

The pseudo-random signal creating means 22 creates a pseudo-random signal, which is a pseudo-random signal, based on the background noise from the sound signal collecting device 10', and supplies the pseudo-random signal to the mixed sound source creating means 23 and the loudness calculating means 24a.

The mixed sound source creating means 23 combines the rattle noise that has passed through the filter means 21 and the pseudo-random signal created by the pseudo-random signal creating means 22 to create a mixed noise signal, which is a mixed noise signal, to the loudness calculating means 24a. Supply.

_{The loudness calculation means 24a uses the loudness N BGN} of the pseudo-random signal created by the pseudo-random signal creating means 22, _{the loudness N subject of the} mixed sound source created by the mixed sound source creating means 23, and the background noise supplied from the filter means 21. loudness N of rattle noise free 'the _subject, respectively determined loudness N' the _subject to roughness calculation means 24b, loudness N _subject and loudness N _BGN and the loudness N 'estimation value calculating means 27 degree worrisome the _subject' Supply each.

Roughness calculating means 24b supplies' to _subject the roughness R of the target noise 'loudness N rattling noise without the background noise calculated in the loudness calculation means 24a obtains a _subject, the estimate calculating means 27 degree worrisome' ..

The total coefficient α calculation means 25 includes various information supplied from the preset value storage unit 26'(threshold loudness N ″ _{subject stored in the threshold loudness storage means 26a, threshold roughness R ″ subject} stored in the threshold roughness storage means 26b). , Loudness coefficient A stored in the loudness coefficient storage means 26c, roughness coefficient B stored in the roughness coefficient storage means 26d, correction value C stored in the correction value storage means 26e, allowable threshold storage means 26f of the degree of concern. Estimating the degree of anxiety using the preset permissible threshold of the degree of anxiety EST ″) as a boundary value for whether or not the rattle noise generated from the target product 30 ′ stored in ′ is anxious or not. The total coefficient α required for obtaining the value EST is calculated by the equation (2), and the obtained total coefficient α is supplied to the estimated value calculation means 27'of the degree of concern.

The estimation value calculation means 27'of the degree of concern is obtained by the loudness N _BGN [sone] of _{the pseudo-random signal obtained by the loudness calculation means 24a, the loudness N subject} [sone] of the mixed sound source, and the overall coefficient α calculation means 25. _{The total coefficient α, the roughness R'subject} [asper] obtained by the roughness calculation means 24b, the loudness coefficient A stored in the loudness coefficient storage means 26c, and the roughness coefficient B stored in the roughness coefficient storage means 26d. From the correction value C stored in the correction value storage means 26e, the estimated value of the degree of concern for the rattle noise radiated from the target product 30'(estimated value of the degree of concern considering the masking effect due to the background noise). Is obtained by the calculation of the equation (3).

Here, a test conducted to verify that the estimated value EST of the degree of anxiety determined as in the equation (3) is suitable for the approximate sensory evaluation will be described.

Sensory evaluation in which the subject evaluates the degree of anxiety of rattle noise heard under background noise when the volume of rattle noise radiated from the target product 30'is changed while the volume of background noise is constant. A test (Experiment 1) was performed. The mixed sound source loudness N _subject [sone] used in this experiment 1, the pseudo-random signal loudness N _BGN [sone], the roughness _R'subject [asper], the preset threshold loudness N ″ _subject and the threshold roughness R ″ _subject , The appropriate loudness coefficient A, roughness coefficient B, and correction value C are obtained by multiple regression analysis with respect to the preset allowable threshold EST ″ of the degree of anxiety, and the target product 30 ′ including background noise is obtained from the equation (3). Obtain the estimated value EST of the degree of concern for rattle noise.

FIG. 3 is a characteristic diagram in which the sensory evaluation result (standard score) obtained from the subject is plotted on the horizontal axis, and the estimated value EST of the degree of anxiety obtained by the equation (3) is plotted on the vertical axis. As shown in the list of FIG. 4, each preset value obtained in Experiment 1 has a loudness coefficient A = 0.37, a roughness coefficient B = 0.60, and a correction value C = 0.19. Further, since a very high degree of freedom adjusted coefficient of determination R ² is 0.95 indicating the true goodness of the formula (3) with respect to the sensory evaluation results obtained from the subject, care of the noise evaluation device 20 ' It was verified that the estimation value calculation means 27'of the degree of freedom can calculate the estimated value EST of the degree of freedom as a value very close to the sensory evaluation result.

In addition, FIG. 4 shows a sensory evaluation test in which the subject evaluates the degree of concern about rattle noise that is heard under background noise when the volume of background noise is changed and the volume of rattle noise is kept constant. (Experiment 2) By multiple regression analysis, the sensory evaluation test (Experiment 3) in which the subject evaluates the degree of concern about rattle noise when the background noise is eliminated and the time waveform of rattle noise is changed. The obtained preset values and the degree of freedom adjusted decision coefficient R ² are listed.

Further, in Experiments 1 & 2 shown in FIG. 4, preset values were obtained by multiple regression analysis using the sensory evaluation results of Experiment 1 and Experiment 2 as a population. Similarly, Experiments 1 & 3 use the sensory evaluation results of Experiments 1 and 3 as the population, Experiments 2 & 3 use the sensory evaluation results of Experiments 2 and 3 as the population, and Experiments 1 & 2 & 3 use the sensory functions of Experiments 1, 2 and 3 as the population. The preset values were obtained by multiple regression analysis using the evaluation results as the population.

From the results of the preset values (loudness coefficient A, roughness coefficient B, correction value C) obtained by multiple regression analysis in these verification tests, the loudness coefficient A is set as a numerical value in the range of 0.3 to 0.8, and the roughness is set. It can be seen that the coefficient B may be set as a numerical value in the range of 0.2 to 0.6, and the correction value C may be set as a numerical value in the range of 0.1 to 0.6.

The anxiety degree evaluation means 28'sets and stores the anxiety degree estimation value EST obtained by the anxiety degree estimation value calculation means 27' in the anxiety degree allowable threshold storage means 26f'. By comparing with the permissible threshold EST of the degree of anxiety, the degree of anxiety for the rattle noise radiated from the target product 30'is evaluated. For example, the permissible threshold EST of the degree of anxiety is "1". If "" is set, the estimated value EST of the degree of concern can be calculated by the equation (4). When the "estimated value EST of the degree of concern" calculated by the equation (4) is larger than 1, the "sound of concern", and when the calculated "estimated value EST of the degree of concern" is smaller than 1. Can be evaluated as "a sound that does not bother you". If the calculated "estimated value of the degree of concern EST" is the same value "1" as the "permissible threshold of the degree of concern EST", it should be divided into "sounds of concern". It can be decided arbitrarily whether to divide it into "uninteresting sounds". Of course, when other values are given to the "permissible threshold EST" of the degree of concern, it is possible to evaluate whether or not the concern is concerned.

The evaluation result notification means 29 informs the user of the noise evaluation device 20'of the evaluation result by the degree of concern evaluation means 28', and can be displayed visually on the screen or output by voice by the speaker.

If the degree of concern evaluation system 1'of the target noise under the background noise described above is used, the rattle noise generated from the target product 30'is considered whether the rattle noise generated from the target product 30'is concerned or not, considering the masking effect due to the background noise. , It can be quantitatively evaluated as "degree of concern" which is highly correlated with the sensory evaluation result. As a result, it is possible to prevent user troubles due to insufficient suppression of rattle noise, and it is possible to prevent an increase in design / manufacturing cost due to excessive suppression of rattle noise.

Next, the approximate sensory evaluation system 1 of the target sound under the background noise according to the present embodiment is applied to the approximate sensory evaluation having a high correlation with the sensory evaluation of the degree of attention (audible impression) of the sign sound under the background noise. A second application example of the first embodiment described above will be described. The attention level evaluation system 1 ″ of the sine sound under the background noise shown in FIG. 5 is composed of a sound signal collecting device 10 ″ and a sine sound evaluation device 20 ″.

The sound signal collecting device 10 "has a function and a sign of a sign sound acquisition device that collects a sign sound generated from a sign sound source 30" such as a fire alarm that is a source of the sign sound from a semi-unsounding room 41 with a sound collecting microphone 11. It has a function of a background noise acquisition device that collects the background noise of the sign sound output environment 42 "of an office or the like where the sound source 30" is used by the sound collecting microphone 11. The sine sound evaluation device 20 ″ has a function of approximate sensory evaluation of the degree of attention evoking whether the sine sound calls attention or not from the sine sound and background noise collected by the sound signal collecting device 10 ″.

The sine sound evaluation device 20 ″ includes a filter means 21, a pseudo-random signal creating means 22, a mixed sound source creating means 23, a loudness calculating means 24a, a roughness calculating means 24b, an overall coefficient α calculating means 25, and a preset value storage unit 26 ″ (threshold value). Loudness storage means 26a, threshold roughness storage means 26b, loudness coefficient storage means 26c, roughness coefficient storage means 26d, correction value storage means 26e, allowable threshold storage means 26f ″), attention level estimation value calculation means 27 ″, Attention degree evaluation means 28 ″, and evaluation result notification means 29 are provided.

The filter means 21 receives the sine sound signal from the sound signal collecting device 10 ″ and transmits the sine sound frequency band (for example, 2 kHz or less) generated from the sine sound source 30 ″ to transmit the mixed sound source creating means 23 and the loudness calculation. Supply to means 24a.

The pseudo-random signal creating means 22 creates a pseudo-random signal, which is a pseudo-random signal, based on the background noise from the sound signal collecting device 10 ″, and supplies the pseudo-random signal to the mixed sound source creating means 23 and the loudness calculating means 24a.

The mixed sound source creating means 23 combines the sine sound that has passed through the filter means 21 and the pseudo-random signal created by the pseudo-random signal creating means 22 to create a mixed sound source that is a mixed noise signal, and sends it to the loudness calculating means 24a. Supply.

_{The loudness calculation means 24a uses the loudness N BGN} of the pseudo-random signal created by the pseudo-random signal creating means 22, _{the loudness N subject of the} mixed sound source created by the mixed sound source creating means 23, and the background noise supplied from the filter means 21. loudness N of sign sound that does not include 'the _subject, asked each, loudness N' the _subject to the roughness calculation means 24b, loudness N _subject and loudness N _BGN and loudness N _'subject to the estimated value calculation means 27 of the reminder degree " Supply each.

Roughness calculation means 24b obtains a _subject 'roughness R of sign sound from the _subject' loudness N of sign sound that does not include the background noise obtained by the loudness calculation means 24a, and supplies to the estimated value calculation means 27 "of the alert degree.

The total coefficient α calculation means 25 includes various information supplied from the preset value storage unit 26 ″ (threshold loudness N ″ _subject stored in the threshold loudness storage means 26a, threshold roughness R ″ subject stored in the threshold roughness storage means 26b ″ _subject. , Loudness coefficient A stored in the loudness coefficient storage means 26c, roughness coefficient B stored in the roughness coefficient storage means 26d, correction value C stored in the correction value storage means 26e, allowable threshold storage means 26f ″ of the degree of attention. The estimated value EST of the degree of attention is calculated by using the allowable threshold EST ") of the degree of attention set in advance as the boundary value of whether or not the sign sound generated from the sign sound source 30" stored in is called. The total coefficient α required for the calculation is calculated by the equation (2), and the obtained total coefficient α is supplied to the estimated value calculation means 27 ″ of the degree of attention.

The alertness estimation value calculation means 27 ″ was obtained by the loudness N _BGN [sone] of _{the pseudo-random signal obtained by the loudness calculation means 24a, the loudness N subject} [sone] of the mixed sound source, and the overall coefficient α calculation means 25. _{The overall coefficient α, the roughness R'subject} [asper] obtained by the roughness calculation means 24b, the loudness coefficient A stored in the loudness coefficient storage means 26c, and the roughness coefficient B stored in the roughness coefficient storage means 26d are corrected. From the correction value C stored in the value storage means 26e, the estimated value EST of the degree of attention to the sign sound output from the sign sound source 30 ″ is obtained by the calculation of the equation (3).

The attention-calling degree evaluation means 28 ″ sets the attention-calling degree estimated value EST obtained by the attention-calling degree estimated value calculating means 27 ″ in the permissible threshold value storage means 26f ″ of the attention-calling degree, and stores the attention-calling degree. The degree of attention to the sign sound output from the sign sound source 30 ″ is evaluated by comparing with the allowable threshold EST ″ of. For example, if “1” is set as the allowable threshold EST ″ of the degree of attention. , The estimated value EST of the degree of attention can be calculated by the equation (4). When the "estimated value EST of the degree of alerting" calculated by the equation (4) is larger than 1, "the volume is sufficient for alerting", and when the calculated "estimated value EST of the degree of alerting" is smaller than 1. Can be evaluated as "insufficient volume for alerting". If the calculated "estimated value EST of the degree of attention" is the same value "1" as the "allowable threshold EST" of the degree of attention, this should be distributed to "sufficient volume for alerting". It may be decided arbitrarily whether to allocate to "volume insufficient for calling attention". Of course, when other values are given to the "allowable threshold EST" of the degree of attention, it is possible to evaluate whether the attention is sufficient or insufficient in the same manner.

The evaluation result notification means 29 notifies the user of the sign sound evaluation device 20 "of the evaluation result by the attention level evaluation means 28", and can be displayed visually on the screen or output by voice by the speaker.

If the above-mentioned sine sound alerting degree evaluation system 1 ″ is used, the sine sound output from the sine sound source 30 ″ may or may not be sufficiently loud for alerting in consideration of the masking effect of the background noise. Whether the volume is sufficient can be quantitatively evaluated as the "degree of attention" that is highly correlated with the sensory evaluation result. As a result, it is possible to prevent a problem that the attention ventilation function cannot be fully exerted due to insufficient volume of the sign sound, and it is possible to reduce the discomfort to the listener due to the excessive output volume of the sign sound. ..

In the approximate sensory evaluation system of the target sound under the background noise of the first embodiment described above, only the loudness and the roughness are used among the psychoacoustic parameters, and the auditory sense of the target sound generated from the object to be evaluated 30 under the background noise. An arithmetic formula for calculating the evaluation estimated value EST having a high correlation with the sensory evaluation of the impression was set. However, if an arithmetic expression for calculating the evaluation estimated value EST using more psychoacoustic parameters is applied, there is a possibility that an evaluation estimated value having a higher correlation with the sensory evaluation result can be obtained.

Therefore, the approximate sensory evaluation system 2 of the target sound under the background noise of the second embodiment shown in FIG. 6 uses sharpness, which is one of the psychoacoustic parameters, in addition to loudness and roughness, so that the sensory impression of hearing is sensory. It is equipped with a target sound evaluation device that can quantitatively acquire and evaluate evaluation estimates that are closer to the evaluation results. That is, the approximate sensory evaluation system 2 for the target sound under the background noise according to the second embodiment includes the sound signal collecting device 60 and the target sound evaluation device 70.

The sound signal collecting device 60 sets the target noise (rattle noise, sine sound, etc.) generated from the evaluated object 80 at the required position of the semi-anechoic chamber 91 (near the evaluated object 80 and at a position assumed to be the user's ear position). ) As a function as a target sound acquisition device, and the required position of the evaluated object usage environment 92 that imitates the office or bedroom where the evaluated object 80 is used (suitable for the product user to hear the environmental noise). It also has a function as a background noise acquisition device that acquires background noise from a possible position). The collected sound collected from the semi-anechoic chamber 91 and the environment in which the object to be evaluated 92 is used is recorded as a digital signal audio file or directly output to the target sound evaluation device 70.

The target sound evaluation device 70 includes a filter means 71, a pseudo-random signal creating means 72, a mixed sound source creating means 73, a loudness calculating means 74a, a roughness calculating means 74b, a sharpness calculating means 74c, an overall coefficient α calculating means 75, and a preset value storage unit. 76 (threshold loudness storage means 76a, threshold roughness storage means 76b, threshold sharpness storage means 76c, loudness coefficient storage means 76d, roughness coefficient storage means 76e, sharpness coefficient storage means 76f, correction value storage means 76g, evaluation reference threshold storage means 76h. ), Evaluation estimation value calculation means 77, approximate sensory evaluation means 78, and evaluation result notification means 79 are provided.

When the signal of the target sound is input from the sound signal collecting device 60, the filter means 71 transmits only the sound in the frequency band that greatly contributes to the audible impression among the target sounds generated from the evaluated object 80. It can be configured with a frequency filter or the like. If it is not necessary to extract a specific frequency band from the target sound of the object to be evaluated 80 acquired from the semi-anechoic chamber 91, the entire band may be passed.

The pseudo-random signal creating means 72 creates a pseudo-random signal which is a pseudo-random signal based on the background noise from the sound signal collecting device 60, and supplies the pseudo-random signal to the mixed sound source creating means 73 and the loudness calculating means 74a. It is desirable that the sampling frequency and recording time (number of samples) of the pseudo-random signal to be created match the signal of the target sound.

The mixed sound source creating means 73 combines the target sound that has passed through the filter means 71 and the pseudo-random signal created by the pseudo-random signal creating means 72 to create a mixed sound source that is a mixed sound signal, and uses the loudness calculating means 74a. Supply.

_{The loudness calculation means 74a has at least the loudness N BGN} of the pseudo-random signal created by the pseudo-random signal creating means 72, _{the loudness N subject of the} mixed sound source created by the mixed sound source creating means 73, and the background noise received from the filter means 71. _Find the loudness N'subject of the target sound that does not include. Then, loudness N to roughness calculation means 74b _'subject is, loudness N _BGN loudness N _subject to the sharpness calculation unit 74c is, to evaluate the estimated value calculation means 77 loudness N _subject and loudness N _BGN and loudness N' is _subject, respectively loudness It is supplied from the calculation means 74a.

Roughness calculation means 74b is, 'from _subject, the roughness R of the target noise' loudness N of the target sound without the background noise calculated in the loudness calculation means 74a obtains a _subject, and supplies the evaluation estimation value calculating means 77.

The sharpness calculation means 74c calculates the sharpness S [acum]. There are a plurality of sharpness calculation formulas, but as an example, the sharpness calculation formula of zwicker is shown in the following formula (5).

_{However, the sharpness S subject of the} target sound heard under the background noise _{is "loudness density Ns subject} (z) [sone / Bark] of the mixed sound source of the evaluated object and the background noise" and "background noise (pseudo-random signal)". The loudness density of Ns _BGN (z) [sone / Bark] ”is considered to be obtained from the difference in loudness density. Therefore, sharpness S _'subject is hearing a target sound from the evaluation object 80 without considering the background noise is defined as determined by the following equation (6).

Sharpness calculation means 74c, for example calculates the sharpness S _'subject using Equation (6), and supplies the evaluation estimation value calculating means 77.

_{The evaluation estimation value calculation means 77 calculates the evaluation estimation value EST sharpness} in consideration of the masking effect of the background sound by using the sharpness which is one of the psychoacoustic parameters. In determining the calculation formula for calculating the evaluation estimated value EST _sharpness , it is first assumed that the evaluation estimated value EST'sharpness for the noise from the evaluated object 80 without considering the background noise is _obtained by the following formula (7).

_{EST 'sharpness = α (A ×} N' subject + B × R 'subject + C × S' subject + D) ... (7)

In the formula (7), EST _'sharpness evaluation estimate of auditory impression of target sound from the evaluation object 80 without considering the background noise, N' _subject the loudness of the target sound emitted from the evaluation object 80, R '_subject's target sound emitted from the evaluation object 80 roughness, S _'subject sharpness of the target sound emitted from the evaluation object 80, a is N' loudness coefficient according to the _subject, B is the roughness according to the R _'subject coefficient, C is the sharpness factor according to S _'subject, D is the correction value, alpha is the total coefficient according to the total.

Here, in order to make the overall coefficient α a meaningful numerical value, the _{threshold loudness N ″ subject} [sone] is applied to the equation (7) _{instead of the loudness N ′ subject} [sone] of the target sound radiated from the evaluated object 80. and, applying the equation (7) the threshold roughness R _"subject [asper] in place of the roughness R _'subject [asper] of the target sound emitted from the evaluation object 80, the target sound emitted from the evaluation object 80 The threshold sharpness S ″ _subject [acum] is applied to the equation (7) instead of the sharpness S ′ _{subject [acum] of By applying the} evaluation reference threshold EST ″ sharpness for the target sound from the object to be evaluated 80, which does not consider the background noise instead of the _sharpness, to the equation (7), the equation (8) is obtained.

EST " _sharpness = α (A x N" _subject + B x R " _subject + C x S" _subject + D) ... (8)

From this equation (8), the total coefficient α can be obtained by the following equation (9).

α = EST ″ _sharpness / (A × N ″ _subject ＋ B × R ″ _subject ＋ C × S ″ _subject ＋ D)… (9)

In order to obtain the overall coefficient α of the above equation (9), various information is supplied from the preset value storage unit 76 to the overall coefficient α calculation means 75 of the target sound evaluation device 70. _{Specifically, a threshold loudness N ″ subject} preset as an acceptable or target value as a target sound generated from the evaluated object 80 is supplied from the threshold loudness storage means 76a and is allowed as a target sound generated from the evaluated object 80. Alternatively, a threshold roughness R ″ _subject preset as a target value is supplied from the threshold roughness storage means 76b, and is acceptable as a target sound generated from the evaluated object 80, or a threshold sharpness S ″ _{subject preset as a target value.} Is supplied from the threshold sharpness storage means 76c, and a loudness coefficient A preset according to the target sound generated from the evaluated object 80 is supplied from the loudness coefficient storage means 76d and is supplied in advance according to the target sound generated from the evaluated object 80. The set roughness coefficient B is supplied from the roughness coefficient storage means 76e, and the sharpness coefficient C preset according to the target sound generated from the evaluated object 80 is supplied from the sharpness coefficient storage means 76f and generated from the evaluated object 80. A correction value D preset according to the target sound is supplied from the correction value storage means 76 g, and an evaluation reference threshold EST ″ _sharpness preset as a boundary value for approximate sensory evaluation of the target sound generated from the evaluated object 80 is evaluated. It is supplied from the reference threshold storage means 76h.

If the overall coefficient α calculated by the overall coefficient α calculation means 75 and the appropriate loudness coefficient A, roughness coefficient B, sharpness coefficient C, and correction value D are determined as described above, the evaluated object 80 does not consider the background noise. The evaluation estimated value _{EST'sharpness} for noise from the noise can be quantitatively obtained by the equation (7). _{The calculation formula for calculating the evaluation estimated value EST sharpness} of the auditory impression of the target sound from the evaluated object 80 including the background noise is the loudness N of the mixed noise that is a mixture of the target sound from the evaluated object 80 and the background noise. _The following equation (10) is used with subject [sone] and loudness N _{BGN [sone] with only background noise.}

EST _sharpness = α {A × (N _subject −N _BGN ) ＋ B × R ′ _subject ＋ C × S ′ _subject ＋ D}… (10)

That is, evaluation estimated value calculating means 77, the loudness N _subject [sone] loudness N _BGN [sone] and mix sound of the pseudo random signal obtained by the loudness calculating means 74a, the roughness R _'subject obtained by the roughness calculating means 74b and [Asper], and sharpness S _'subject obtained in sharpness calculating means 74c, and total coefficient α determined by the total coefficient α calculating unit 75, a loudness coefficient a stored in the loudness coefficient storage unit 76d, the roughness coefficient storage means The roughness coefficient B stored in the 76e, the sharpness coefficient C stored in the sharpness coefficient storage means 76f, and the correction value D stored in the correction value storage means 76g, with respect to the target sound radiated from the evaluated object 80. _{The EST sharpness} (evaluation estimated value of the audible impression in consideration of the masking effect due to the background noise) EST sharpness is obtained by the calculation of the above equation (10).

The approximate sensory evaluation means 78 compares the evaluation estimation value EST _{sharpness obtained by the evaluation estimation value calculation means 77 with the evaluation reference threshold EST ″ sharpness} set and stored in the evaluation reference threshold storage means 76h to give an impression of hearing. Approximate sensory evaluation (approximate sensory evaluation) with high correlation with sensory evaluation is performed. For example, if "1" is set as _{the evaluation reference threshold EST "sharpness , the evaluation estimated value EST sharpness} is the following equation (11). ) Can be calculated.

EST _sharpness = 1 / (A × N ″ _subject ＋ B × R ″ _subject ＋ C × S ″ _subject ＋ D) × {A × (N _subject −N _BGN ) ＋ B × R ′ _subject ＋ C × S ′ _subject ＋ D}… (11)

When the "evaluation estimated value EST _sharpness " calculated by the equation (11) is larger than 1, the sensory evaluation can be approximated as "anxious sound" or "appropriate volume", and the calculated "evaluation estimated value EST _sharpness ". When is less than 1, an approximate sensory evaluation can be performed such as "uninteresting sound" or "difficult to hear volume". If the calculated "evaluation estimated value EST _sharpness " is the same value "1" as the "evaluation standard threshold value EST" _sharpness ", it may be arbitrarily determined which one is to be distributed. Of course, when another value is given to the "evaluation estimated value EST" _sharpness ", the approximate sensory evaluation can be performed in the same manner using this as the evaluation standard.

The evaluation result notification means 79 informs the user of the target sound evaluation device 70 of the evaluation result by the approximate sensory evaluation means 78, and can be visually displayed on the screen or output by a speaker. More simply, the quality of the evaluation can be reported by turning on the green lamp or the red lamp.

As described above, according to the approximate sensory evaluation system 2 of the target sound under the background noise according to the second embodiment, the evaluated object 80 is evaluated under the background noise by adding the sharpness which is one of the acoustic psychological parameters. It is possible to quantitatively perform an approximate sensory evaluation having a higher correlation with the sensory evaluation of the auditory impression of the target sound generated from the sound. Therefore, by using this quantified approximate sensory evaluation as an index, the noise generated from the evaluated object 80 under the background noise is suppressed, and the volume output from the evaluated object 80 under the background noise is optimized. Will be easy.

Next, the approximate sensory evaluation system 2 of the target sound under the background noise according to the second embodiment is subjected to the approximate sensory evaluation having a high correlation with the sensory evaluation of the degree of concern (audible impression) of the target noise under the background noise. A first application example of the second embodiment applied to the above will be described. The anxiety degree evaluation system 2'of the target noise under the background noise shown in FIG. 7 is composed of a sound signal collecting device 60'and a noise evaluation device 70'.

The sound signal collecting device 60'is a function of a target noise acquisition device and a target product 80 that collects target noise generated from a target product 80'such as office equipment that is a source of noise from a semi-anechoic chamber 91 with a sound collecting microphone 61. It has a function of a background noise acquisition device that collects the background noise of the product usage environment 92'in the office where ′ is used by the sound collecting microphone 61. The noise evaluation device 70' has a function of approximate sensory evaluation of the degree of concern about whether the target noise is anxious or not from the target noise and the background noise collected by the sound signal collecting device 60'. In the following description, the noise radiated from the target product 80'is limited to rattle noise, but the degree of concern evaluation system 2'of the target noise under the background noise is general for other mechanical noise. It can be applied to approximate sensory evaluation.

The noise evaluation device 70'is a filter means 71, a pseudo-random signal creation means 72, a mixed sound source creation means 73, a loudness calculation means 74a, a roughness calculation means 74b, a sharpness calculation means 74c, an overall coefficient α calculation means 75, and a preset value storage unit. 76'(threshold loudness storage means 76a, threshold roughness storage means 76b, threshold sharpness storage means 76c, loudness coefficient storage means 76d, roughness coefficient storage means 76e, sharpness coefficient storage means 76f, correction value storage means 76g, degree of concern. The permissible threshold storage means 76h'), an anxiety degree estimation value calculation means 77', an anxiety degree evaluation means 78', and an evaluation result notification means 79 are provided.

The filter means 71 receives a signal of target noise (noise including rattle noise) from the sound signal collecting device 60', cuts the target noise generated from the target product 80', and adds the sound within the vibration frequency range. A noise component having a frequency higher than the vibration frequency is transmitted and supplied to the mixed sound source creating means 73 and the loudness calculating means 74a.

The pseudo-random signal creating means 72 creates a pseudo-random signal, which is a pseudo-random signal, based on the background noise from the sound signal collecting device 60', and supplies the pseudo-random signal to the mixed sound source creating means 73 and the loudness calculating means 74a.

The mixed sound source creating means 73 combines the rattle noise that has passed through the filter means 71 and the pseudo-random signal created by the pseudo-random signal creating means 72 to create a mixed noise signal, which is a mixed noise signal, to the loudness calculating means 74a. Supply.

_{The loudness calculation means 74a uses the loudness N BGN} of the pseudo-random signal created by the pseudo-random signal creating means 72, _{the loudness N subject of the} mixed sound source created by the mixed sound source creating means 73, and the background noise supplied from the filter means 71. loudness N of rattle noise free 'the _subject, respectively determined loudness N to roughness calculation means 74b' of the _subject, the loudness N _BGN loudness N _subject to the sharpness calculation unit 74c, the estimated value calculation means 77 degree worrisome ' to the loudness N _subject and loudness N _BGN and loudness N _'subject, and supplies respectively.

Roughness calculating means 74b supplies' to _subject the roughness R of the target noise 'loudness N rattling noise without the background noise calculated in the loudness calculation means 74a obtains a _subject, the estimated value calculation means 77 degree worrisome' ..

Sharpness calculation means 74c is 'calculates the _subject [acum], estimated value calculating means 77 degree worrisome' Equation (6) by the sharpness S is supplied to the.

The total coefficient α calculation means 75 includes various information supplied from the preset value storage unit 76'(threshold loudness N ″ _{subject stored in the threshold loudness storage means 76a, threshold roughness R ″ subject} stored in the threshold roughness storage means 76b). _{, Threshold sharpness S ″ subject} stored in the threshold sharpness storage means 76c, loudness coefficient A stored in the loudness coefficient storage means 76d, roughness coefficient B stored in the roughness coefficient storage means 76e, and stored in the sharpness coefficient storage means 76f. Sharpness coefficient C, correction value D stored in the correction value storage means 76g, allowable threshold value of the degree of concern Do you care about rattle noise generated from the target product 80'stored in the storage means 76h'? Using the preset permissible threshold value EST ″ _sharpness ) of the degree of anxiety as the boundary value of, the overall coefficient α required to obtain the estimated value EST _{sharpness of the} degree of anxiety is calculated by Eq. (9). The obtained overall coefficient α is supplied to the estimated value calculation means 77'of the degree of concern.

The estimation value calculation means 77'of the degree of concern is obtained by the loudness N _BGN [sone] of _{the pseudo-random signal obtained by the loudness calculation means 74a, the loudness N subject} [sone] of the mixed sound source, and the overall coefficient α calculation means 75. and total coefficient α was, 'the _subject [Asper], sharpness S calculated by the sharpness calculating device 74c' roughness R obtained by the roughness calculating means 74b and the _subject, and the loudness coefficient a stored in the loudness coefficient storage unit 76d, roughness The roughness coefficient B stored in the coefficient storage means 76e, the sharpness coefficient C stored in the sharpness coefficient storage means 76f, and the correction value D stored in the correction value storage means 76g are radiated from the target product 80'. _{The estimated value of the degree of anxiety} for rattle noise (estimated value of the degree of anxiety considering the masking effect due to the background noise) EST sharpness is obtained by the calculation of the equation (10).

_{Here, a test conducted to verify that the estimated value EST sharpness of the} degree of anxiety determined as in the equation (10) is suitable for the approximate sensory evaluation will be described.

Sensory evaluation in which the subject evaluates the degree of anxiety of rattle noise heard under background noise when the volume of rattle noise radiated from the target product 80'is changed while the volume of background noise is constant. A test (Experiment 1) was performed. The mixed sound source loudness N _subject [sone] used in this experiment 1, the pseudo-random signal loudness N _BGN [sone], the roughness _R'subject [asper], the preset threshold loudness N ″ _subject and the threshold roughness R ″ _subject , preset minded becomes degree of tolerance threshold EST "appropriate loudness coefficient a with respect to _sharpness, roughness factor B, sharpness coefficients C, determined by multiple regression analysis of the correction value D, subject, including a background noise from the formula (10) _{Obtain the estimated value EST sharpness of the} degree of concern for rattle noise from the product 80'.

As shown in the list of FIG. 8, the preset values obtained in Experiment 1 have a loudness coefficient A = 0.34, a roughness coefficient B = 0.64, a sharpness coefficient C = −0.03, and a correction value D =. It is 0.22. Further, since a very high degree of freedom adjusted coefficient of determination R ² is 0.95 indicating the goodness of true formulas (10) to the sensory evaluation results obtained from the subject, care of the noise evaluation device 70 ' It was verified that _{the estimation value calculation means 77'of the degree of freedom can calculate the estimated value EST sharpness of the} degree of anxiety as a value extremely close to the sensory evaluation result.

In addition, FIG. 8 shows a sensory evaluation test in which the subject evaluates the degree of concern about rattle noise that is heard under background noise when the volume of background noise is changed and the volume of rattle noise is kept constant. (Experiment 2) By multiple regression analysis, the sensory evaluation test (Experiment 3) in which the subject evaluates the degree of concern about rattle noise when the background noise is eliminated and the time waveform of rattle noise is changed. The obtained preset values and the degree of freedom adjusted decision coefficient R ² are listed.

Further, in Experiments 1 & 2 shown in FIG. 8, preset values were obtained by multiple regression analysis using the sensory evaluation results of Experiments 1 and 2 as a population. Similarly, Experiments 1 & 3 use the sensory evaluation results of Experiments 1 and 3 as the population, Experiments 2 & 3 use the sensory evaluation results of Experiments 2 and 3 as the population, and Experiments 1 & 2 & 3 use the sensory functions of Experiments 1, 2 and 3 as the population. The preset values were obtained by multiple regression analysis using the evaluation results as the population.

From the results of the preset values (loudness coefficient A, roughness coefficient B, sharpness coefficient C, correction value D) obtained by multiple regression analysis in these verification tests, the loudness coefficient A is a numerical value in the range of 0.3 to 1.2. The roughness coefficient B is set as a numerical value in the range of −0.2 to 0.7, the sharpness coefficient C is set as a numerical value in the range of −0.1 to 0.7, and the correction value D is set as -1. It can be seen that it should be set as a numerical value in the range of 4 to 0.3.

_{The anxiety degree evaluation means 78'sets and stores the anxiety} degree estimated value EST sharpness obtained by the anxiety degree estimation value calculation means 77' in the anxiety degree allowable threshold storage means 76h'. By comparing with the permissible threshold EST " _sharpness " of the degree of anxiety, the degree of anxiety is evaluated for the rattle noise radiated from the target product 80'. For example, the permissible threshold EST " _{sharpness of the degree of anxiety is evaluated.} If "1" is set as, if the "estimated value EST _{sharpness of the} degree of anxiety" calculated by the equation (11) is larger than 1, "anxious sound" is set, and "anxious sound" is calculated. When the "estimated value EST _sharpness " of the degree of bending is smaller than 1, it can be evaluated as "a sound that does not bother me". Incidentally, if the calculated "estimated value EST _sharpness degree worrisome" was the same value "acceptable threshold EST" _sharpness degree worrisome "and" 1 ", it distributes it to" sound anxious " It can be decided arbitrarily whether to divide it into "uninteresting sounds". Of course, when other values are given to the "permissible threshold EST" _sharpness "of the degree of concern, it is possible to evaluate whether or not the concern is concerned.

The evaluation result notification means 79 informs the user of the noise evaluation device 70'of the evaluation result by the degree of concern evaluation means 78', and can be displayed visually on the screen or output by voice by the speaker.

If the above-mentioned evaluation system 2'of the degree of concern about the target noise under the background noise is applied to the approximate sensory evaluation of the degree of concern about the target noise under the background noise, the target product is considered in consideration of the masking effect due to the background noise. Whether or not the rattle noise generated from 80'is anxious can be quantitatively evaluated as the "degree of anxiety" having a high correlation with the sensory evaluation result. As a result, it is possible to prevent user troubles due to insufficient suppression of rattle noise, and it is possible to prevent an increase in design / manufacturing cost due to excessive suppression of rattle noise.

Next, the approximate sensory evaluation system 2 of the target sound under the background noise according to the second embodiment is used for the approximate sensory evaluation having a high correlation with the sensory evaluation of the degree of attention (audible impression) of the sign sound under the background noise. A second application example of the applied second embodiment will be described. The attention level evaluation system 2 ″ of the sine sound under the background noise shown in FIG. 9 is composed of a sound signal collecting device 60 ″ and a sine sound evaluation device 70 ″.

The sound signal collecting device 60 "has a function and a sign of a sign sound acquisition device that collects a sign sound generated from a sign sound source 80" such as a fire alarm that is a source of the sign sound from a semi-unsounding room 91 with a sound collecting microphone 61. It has the function of a background noise acquisition device that collects the background noise of the sign sound output environment 92 "in the office where the sound source 80" is used by the sound collecting microphone 61. The sine sound evaluation device 70 ″ has a function of approximate sensory evaluation of the degree of attention evoking whether the sine sound calls attention or not from the sine sound and background noise collected by the sound signal collecting device 60 ″.

The sine sound evaluation device 70 ″ includes a filter means 71, a pseudo-random signal creating means 72, a mixed sound source creating means 73, a loudness calculating means 74a, a roughness calculating means 74b, a sharpness calculating means 74c, an overall coefficient α calculating means 75, and a preset value storage. Part 76 ″ (threshold loudness storage means 76a, threshold roughness storage means 76b, threshold sharpness storage means 76c, loudness coefficient storage means 76d, roughness coefficient storage means 76e, sharpness coefficient storage means 76f, correction value storage means 76g, attention level. The permissible threshold storage means 76h ″), the attention alert degree estimation value calculation means 77 ″, the attention alert degree evaluation means 78 ″, and the evaluation result notification means 79 are provided.

The filter means 71 receives the sine sound signal from the sound signal collecting device 60 ″ and transmits the sine sound frequency band (for example, 2 kHz or less) generated from the sine sound source 80 ″ to transmit the mixed sound source creating means 73 and the loudness calculation. Supply to means 74a.

The pseudo-random signal creating means 72 creates a pseudo-random signal, which is a pseudo-random signal, based on the background noise from the sound signal collecting device 60 ″, and supplies the pseudo-random signal to the mixed sound source creating means 73 and the loudness calculating means 74a.

The mixed sound source creating means 73 combines the sine sound that has passed through the filter means 71 and the pseudo-random signal created by the pseudo-random signal creating means 72 to create a mixed sound source that is a mixed noise signal, and sends it to the loudness calculating means 74a. Supply.

_{The loudness calculation means 74a uses the loudness N BGN} of the pseudo-random signal created by the pseudo-random signal creating means 72, _{the loudness N subject of the} mixed sound source created by the mixed sound source creating means 73, and the background noise supplied from the filter means 71. loudness N of sign sound that does not include 'the _subject, asked each, loudness N to the roughness calculation means 74b' of the _subject, the loudness N _BGN and loudness N _subject to the sharpness calculation means 74c, the estimated value calculation means 77 of the reminder degree " to the loudness N _subject and loudness N _BGN and loudness N _'subject, and supplies respectively.

Roughness calculation means 74b obtains a _subject 'roughness R of sign sound from the _subject' loudness N of sign sound that does not include the background noise obtained by the loudness calculation means 74a, to be supplied to the "estimated value calculating means 77 of the warning degree.

Sharpness calculation means 74c calculates the sharpness S _'subject [acum] by equation (6), and supplies to the "estimation value calculation means 77 of the reminder degree.

The total coefficient α calculation means 75 includes various information supplied from the preset value storage unit 76 ″ (threshold loudness N ″ _{subject stored in the threshold loudness storage means 76a, and threshold roughness R ″ subject} stored in the threshold roughness storage means 76b. _{, Threshold sharpness S ″ subject} stored in the threshold sharpness storage means 76c, loudness coefficient A stored in the loudness coefficient storage means 76d, roughness coefficient B stored in the roughness coefficient storage means 76e, and stored in the sharpness coefficient storage means 76f. The sharpness coefficient C, the correction value D stored in the correction value storage means 76g, and the permissible threshold of the degree of attention alert. _{Using the permissible threshold EST ″ sharpness} , of the degree of attention set in advance as the boundary value, the total coefficient α required to obtain the estimated value EST _{sharpness of the} degree of attention is calculated by Eq. (9), and the obtained total. The coefficient α is supplied to the estimation value calculation means 77 ″ of the degree of attention.

The alertness estimation value calculation means 77 ″ was obtained by the loudness N _BGN [sone] of _{the pseudo-random signal obtained by the loudness calculation means 74a, the loudness N subject} [sone] of the mixed sound source, and the overall coefficient α calculation means 75. the overall coefficient alpha, 'a _{subject [asper],} sharpness S calculated by the sharpness calculating device 74c' roughness R obtained by the roughness calculating means 74b and the _subject, and the loudness coefficient a stored in the loudness coefficient storage unit 76d, the roughness factor A sign output from the sign sound source 80 ″ from the roughness coefficient B stored in the storage means 76e, the sharpness coefficient C stored in the sharpness coefficient storage means 76f, and the correction value D stored in the correction value storage means 76g. _{The estimated value EST sharpness of the} degree of attention to the sound is obtained by the calculation of the equation (10).

The attention-calling degree evaluation means 78 "sets the estimated value EST _sharpness of the attention-calling degree obtained by the attention-calling degree estimated value calculating means 77" in the permissible threshold value storage means 76h "of the attention-calling degree, and stores the attention-calling. By comparing with the allowable threshold EST ″ _{sharpness of the} degree, the degree of attention to the sine sound output from the sine sound source 80 ″ is evaluated. For example, “1” is set as _{the allowable threshold EST ″ sharpness of the degree of attention. If so, when the "estimated value of alertness} EST sharpness" calculated by the equation (11) is larger than 1, "the volume is sufficient for alerting" and the calculated "estimated value of _{alertness EST sharpness".} When "" is less than 1, it can be evaluated as "insufficient volume for calling attention". If the calculated "estimated value of _alertness EST sharpness" is the same value "1" as the "allowable threshold of _alertness EST" sharpness ", it is distributed to" volume sufficient for alerting ". It may be arbitrarily decided whether to allocate to "volume insufficient for calling attention". Of course, when other values are given to the "allowable threshold EST" _sharpness "of the degree of attention, it is possible to evaluate whether the attention is sufficient or insufficient in the same manner.

The evaluation result notification means 79 notifies the user of the sign sound evaluation device 70 ″ of the evaluation result by the attention alert degree evaluation means 78 ″, and can be displayed visually on the screen or output by voice by the speaker.

If the above-mentioned sine sound alertness evaluation system 2 ″ is applied to the approximate sensory evaluation of the sine sound alertness under background noise, the sine sound source 80 ″ is considered in consideration of the masking effect of the background noise. Whether the volume of the sign sound output from is sufficient or insufficient for alerting can be quantitatively evaluated as the "degree of alerting" that has a high correlation with the sensory evaluation result. As a result, it is possible to prevent a problem that the attention ventilation function cannot be fully exerted due to insufficient volume of the sign sound, and it is possible to reduce the discomfort to the listener due to the excessive output volume of the sign sound. ..

In the approximate sensory evaluation system of the target sound under the background noise of the second embodiment described above, the background is obtained by using sharpness, which is one of the psychoacoustic parameters, in addition to loudness and roughness among the psychoacoustic parameters. An arithmetic formula was set to calculate the evaluation estimated value EST having a high correlation with the sensory evaluation of the audible impression of the target sound generated from the object to be evaluated 30 under noisy conditions. However, even if an arithmetic expression that does not use the roughness of the psychoacoustic parameter is applied, it may be possible to obtain an evaluation estimated value that correlates with the sensory evaluation result.

Therefore, the approximate sensory evaluation system 3 of the target sound under the background noise of the third embodiment shown in FIG. 10 quantifies the evaluation estimation value close to the sensory evaluation result of the auditory impression by using the loudness and sharpness of the psychoacoustic parameters. It is equipped with a target sound evaluation device that can be acquired and evaluated. That is, the approximate sensory evaluation system 3 for the target sound under the background noise according to the third embodiment includes the sound signal collecting device 100 and the target sound evaluation device 110.

The sound signal collecting device 100 sets the target noise (rattle noise, sine sound, etc.) generated from the evaluated object 120 at the required position of the semi-anechoic chamber 131 (near the evaluated object 120 and at a position assumed to be the user's ear position). ) As a function as a target sound acquisition device, and the required position of the evaluated object usage environment 132 that imitates the office or bedroom where the evaluated object 120 is used (suitable for the product user to hear the environmental noise). It also has a function as a background noise acquisition device that acquires background noise from a possible position). The collected sound collected from the semi-anechoic chamber 131 and the environment in which the object to be evaluated 132 is used is recorded as an audio file of a digital signal or directly output to the target sound evaluation device 110.

The target sound evaluation device 110 includes a filter means 111, a pseudo-random signal creating means 112, a mixed sound source creating means 113, a loudness calculating means 114a, a sharpness calculating means 114b, an overall coefficient α calculating means 115, and a preset value storage unit 116 (threshold loudness storage). Means 116a, threshold sharpness storage means 116b, loudness coefficient storage means 116c, sharpness coefficient storage means 116d, correction value storage means 116e, evaluation reference threshold storage means 116f), evaluation estimation value calculation means 117, approximate sensory evaluation means 118, evaluation result. The notification means 119 is provided.

When the signal of the target sound is input from the sound signal collecting device 100, the filter means 111 transmits only the sound in the frequency band that greatly contributes to the audible impression among the target sounds generated from the evaluated object 120. It can be configured with a frequency filter or the like. If it is not necessary to extract a specific frequency band from the target sound of the object to be evaluated 120 acquired from the semi-anechoic chamber 131, the entire band may be passed.

The pseudo-random signal creating means 112 creates a pseudo-random signal which is a pseudo-random signal based on the background noise from the sound signal collecting device 100, and supplies the pseudo-random signal to the mixed sound source creating means 113 and the loudness calculating means 114a. It is desirable that the sampling frequency and recording time (number of samples) of the pseudo-random signal to be created match the signal of the target sound.

The mixed sound source creating means 113 combines the target sound that has passed through the filter means 111 and the pseudo-random signal created by the pseudo-random signal creating means 112 to create a mixed sound source that is a mixed sound signal, and causes the loudness calculation means 114a. Supply.

_{The loudness calculation means 114a has at least the loudness N BGN} of the pseudo-random signal created by the pseudo-random signal creating means 112, _{the loudness N subject of the} mixed sound source created by the mixed sound source creating means 113, and the background noise received from the filter means 111. _Find the loudness N'subject of the target sound that does not include. From this loudness calculating means 114a, loudness N _BGN loudness N _subject to the sharpness calculation unit 114b is, loudness N _subject and loudness N _BGN and loudness N _'subject to evaluation estimate calculation unit 117, are supplied.

The sharpness calculation means 114b calculates the sharpness S [acum]. The above-mentioned equation (6) is used to calculate the sharpness. Then, it supplies the sharpness S _'subject calculated using equation (6) to the evaluation estimation value calculating means 117.

The evaluation estimation value calculation means 117 uses the psychoacoustic parameters loudness and sharpness to calculate _{the evaluation estimation value EST sharpness 2 in consideration of the masking effect of the background sound.} In determining the calculation formula for calculating the evaluation estimated value EST _sharpness2 , it is first assumed that the evaluation estimated value EST'sharpness2 for the noise from the evaluated object 120 without considering the background noise is _obtained by the following formula (12).

_{EST 'sharpness2 = α (A ×} N' subject + B × S 'subject + C) ... (12)

In the formula _(12), EST 'sharpness2 evaluation estimate of auditory impression of target sound from the evaluation object 120 without considering the background noise, N' _subject the loudness of the target sound emitted from the evaluation object 120, S ' _subject sharpness of the target sound emitted from the evaluation object 120, a is 'loudness coefficient according to the _subject, B is S' N sharpness coefficient according to the _subject, C is the correction value, alpha is the total coefficient according to the total.

Here, in order to make the overall coefficient α a meaningful numerical value, the _{threshold loudness N ″ subject} [sone] is applied to the equation (12) _{instead of the loudness N ′ subject} [sone] of the target sound radiated from the evaluated object 120. and, the sharpness of the target sound S _'subject threshold instead of the [acum] sharpness S _"subject [acum] is applied to equation (12), from the evaluation object 120 without considering the background noise emitted from the evaluation object 120 _{By applying the evaluation reference threshold EST ″ sharpness2} for the target sound from the evaluated object 120, which does not consider the background noise, to the equation (12) instead of the evaluation estimated value EST ′ _{sharpness2 for the target sound of} ).

EST " _sharpness2 = α (A x N" _subject + B x S " _subject + C) ... (13)

From this equation (13), the total coefficient α can be obtained by the following equation (14).

α = EST ″ _sharpness2 / (A × N ″ _subject ＋ B × S ″ _subject ＋ C)… (14)

In order to obtain the overall coefficient α of the above equation (14), various information is supplied from the preset value storage unit 116 to the overall coefficient α calculation means 115 of the target sound evaluation device 110. _{Specifically, a threshold loudness N ″ subject} preset as an acceptable or target value as a target sound generated from the evaluated object 120 is supplied from the threshold loudness storage means 116a and is allowed as a target sound generated from the evaluated object 120. Alternatively, a threshold sharpness S ″ _subject preset as a target value is supplied from the threshold sharpness storage means 116b, and a loudness coefficient A preset according to the target sound generated from the evaluated object 120 is supplied from the loudness coefficient storage means 116c. The sharpness coefficient B supplied and preset according to the target sound generated from the evaluated object 120 is supplied from the sharpness coefficient storage means 116d, and the correction value C preset according to the target sound generated from the evaluated object 120 is supplied. _{The evaluation reference threshold EST ″ sharpness2} supplied from the correction value storage means 116e and set in advance as a boundary value for approximate sensory evaluation of the target sound generated from the evaluated object 120 is supplied from the evaluation reference threshold storage means 116f.

If the overall coefficient α calculated by the overall coefficient α calculation means 115 and the appropriate loudness coefficient A, sharpness coefficient B, and correction value C are determined as described above, the noise from the evaluated object 120 without considering the background noise is dealt with. The evaluation estimated value _{EST'sharpness} 2 can be quantitatively obtained by the equation (12). _{The calculation formula for calculating the evaluation estimated value EST sharpness2} of the auditory impression of the target sound from the evaluated object 120 including the background noise is the loudness N of the mixed noise that is a mixture of the target sound from the evaluated object 120 and the background noise. _The following equation (15) is used with subject [sone] and loudness N _{BGN [sone] with only background noise.}

EST _sharpness2 = α {A × (N _subject −N _BGN ) + B × S ′ _subject + C}… (15)

That is, evaluation estimate calculation unit 117, a loudness N _subject [sone] loudness N _BGN [sone] and mix sound of the pseudo random signal obtained by the loudness calculating means 114a, sharpness S _'subject obtained in sharpness calculating means 114b The total coefficient α obtained by the total coefficient α calculation means 115, the loudness coefficient A stored in the loudness coefficient storage means 116c, the sharpness coefficient B stored in the sharpness coefficient storage means 116d, and the correction value storage means 116e. From the stored correction value C, the above equation (15 _{) EST sharpness2,} which is an evaluation estimated value of the auditory impression for the target sound radiated from the object to be evaluated 120 (evaluation estimated value of the auditory impression considering the masking effect due to the background noise). ) Is calculated.

The approximate sensory evaluation means 118 compares the evaluation estimation value EST _{sharpness2 obtained by the evaluation estimation value calculation means 117 with the evaluation reference threshold EST ″ sharpness2} set and stored in the evaluation reference threshold storage means 116f to give an impression of hearing. Approximate sensory evaluation (approximate sensory evaluation) with high correlation with sensory evaluation is performed. For example, if "1" is set as _{the evaluation reference threshold EST "sharpness2 , the evaluation estimated value EST sharpness2} is expressed by the following equation (16). ) Can be calculated.

EST _sharpness2 = 1 / (A × N ″ _subject ＋ B × S ″ _subject ＋ C) × {A × (N _subject −N _BGN ) ＋ B × S ′ _subject ＋ C}… (16)

When the "evaluation estimated value EST _sharpness2 " calculated by the equation (16) is larger than 1, the sensory evaluation can be approximated as "anxious sound" or "appropriate volume", and the calculated "evaluation estimated value EST _sharpness2 ". When is less than 1, an approximate sensory evaluation can be performed such as "uninteresting sound" or "difficult to hear volume". If the calculated "evaluation estimated value EST _sharpness2 " is the same value "1" as the "evaluation standard threshold value EST" _sharpness2 ", it may be arbitrarily determined which one is to be distributed. Of course, when another value is given to the "evaluation estimated value EST" _sharpness2 ", the approximate sensory evaluation can be performed in the same manner using this as the evaluation standard.

The evaluation result notification means 119 notifies the user of the target sound evaluation device 110 of the evaluation result by the approximate sensory evaluation means 118, and can be displayed visually on the screen or output by a speaker. More simply, the quality of the evaluation can be reported by turning on the green lamp or the red lamp.

As described above, according to the approximate sensory evaluation system 3 of the target sound under the background noise according to the third embodiment, the object generated from the evaluated object 120 under the background noise by using the loudness and the sharpness as the acoustic psychological parameters. It is possible to quantitatively perform an approximate sensory evaluation that has a high correlation with the sensory evaluation of the auditory impression of sound. Therefore, by using this quantified approximate sensory evaluation as an index, the noise generated from the evaluated object 120 under the background noise is suppressed, and the volume output from the evaluated object 120 under the background noise is optimized. Will be easy.

Next, the approximate sensory evaluation system 3 of the target sound under the background noise according to the third embodiment is subjected to the approximate sensory evaluation having a high correlation with the sensory evaluation of the degree of concern (audible impression) of the target noise under the background noise. A first application example of the third embodiment applied to the above will be described. The anxiety degree evaluation system 3'of the target noise under the background noise shown in FIG. 11 is composed of a sound signal collecting device 100'and a noise evaluation device 110'.

The sound signal collecting device 100'is a function of the target noise acquisition device and the target product 120'that collects the target noise generated from the target product 120'such as office equipment that is the source of noise from the semi-anechoic chamber 131 with the sound collecting microphone 101. It has a function of a background noise acquisition device that collects the background noise of the product usage environment 132 ′ such as an office where ′ is used by the sound collecting microphone 101. The noise evaluation device 110' has a function of approximate sensory evaluation of the degree of concern about whether the target noise is anxious or not from the target noise and the background noise collected by the sound signal collecting device 100'. In the following description, the noise radiated from the target product 120'is limited to rattle noise, but the degree of concern evaluation system 3'of the target noise under the background noise is the general noise of other machines. It can be applied to approximate sensory evaluation.

The noise evaluation device 110'has a filter means 111, a pseudo-random signal creating means 112, a mixed sound source creating means 113, a loudness calculating means 114a, a sharpness calculating means 114b, an overall coefficient α calculating means 115, and a preset value storage unit 116' (threshold loudness). Storage means 116a, threshold sharpness storage means 116b, loudness coefficient storage means 116c, sharpness coefficient storage means 116d, correction value storage means 116e, allowable threshold storage means 116f'), degree of concern estimation value calculation means. It is provided with 117', anxiety degree evaluation means 118', and evaluation result notification means 119.

The filter means 111 receives the signal of the target noise (noise including rattle noise) from the sound signal collecting device 100', cuts the target noise generated from the target product 120', and adds the sound within the vibration frequency range. A noise component having a frequency higher than the vibration frequency is transmitted and supplied to the mixed sound source creating means 113 and the loudness calculating means 114a.

The pseudo-random signal creating means 112 creates a pseudo-random signal, which is a pseudo-random signal, based on the background noise from the sound signal collecting device 100', and supplies the pseudo-random signal to the mixed sound source creating means 113 and the loudness calculating means 114a.

The mixed sound source creating means 113 combines the rattle noise that has passed through the filter means 111 and the pseudo-random signal created by the pseudo-random signal creating means 112 to create a mixed noise signal, which is a mixed noise signal, to the loudness calculating means 114a. Supply.

_{The loudness calculation means 114a uses the loudness N BGN} of the pseudo random signal created by the pseudo random signal creating means 112, _{the loudness N subject of the} mixed sound source created by the mixed sound source creating means 113, and the background noise supplied from the filter means 111. loudness N of rattle noise free 'the _subject, asking each loudness N _BGN loudness N _subject to the sharpness calculation unit 114b, the estimated value calculation means 117 degree worrisome' loudness to N _subject and loudness N _BGN and loudness N ′ _Subject is supplied respectively.

Sharpness calculation means 114b is 'calculates the _subject [acum], estimated value calculating means 117 degree worrisome' sharpness S by the equation (6) is supplied to the.

The total coefficient α calculation means 115 includes various information supplied from the preset value storage unit 116'(threshold loudness N ″ _{subject stored in the threshold loudness storage means 116a, threshold sharpness S ″ subject} stored in the threshold sharpness storage means 116b). , Loudness coefficient A stored in the loudness coefficient storage means 116c, sharpness coefficient B stored in the sharpness coefficient storage means 116d, correction value C stored in the correction value storage means 116e, allowable threshold storage means 116f of the degree of concern. _{Using the preset permissible threshold of the degree of anxiety} EST ″ sharpness2) as the boundary value of whether the rattle noise generated from the target product 120 ′ stored in ′ is anxious or not anxious, the degree of anxiety is determined. _{The overall coefficient α necessary for obtaining the} estimated value EST sharpness 2 is calculated by the equation (14), and the obtained overall coefficient α is supplied to the estimated value calculation means 117'of the degree of concern.

The estimation value calculation means 117'of the degree of concern is obtained by the loudness N _BGN [sone] of _{the pseudo-random signal obtained by the loudness calculation means 114a, the loudness N subject} [sone] of the mixed sound source, and the overall coefficient α calculation means 115. and the overall coefficient alpha, the sharpness S _'subject obtained in sharpness calculation unit 114b, and loudness coefficient a stored in the loudness coefficient storage unit 116c, a sharpness coefficient B stored in the sharpness coefficient storage unit 116d, the correction value storing From the correction value C stored in the means 116e, the estimated value of the degree of concern for rattle noise radiated from the target product 120'(estimated value of the degree of concern considering the masking effect due to the background noise) EST _{sharpness 2} . , Obtained by the calculation of equation (15).

_{Here, a test conducted to verify that the estimated value EST sharpness 2 of the} degree of anxiety determined as in the equation (15) is suitable for the approximate sensory evaluation will be described.

Sensory evaluation in which the subject evaluates the degree of anxiety of rattle noise heard under background noise when the volume of rattle noise radiated from the target product 120'is changed while the volume of background noise is constant. A test (Experiment 1) was performed. The mixed sound source loudness N _subject [sone] used in this experiment 1, the pseudo-random signal loudness N _BGN [sone], the roughness _R'subject [asper], the preset threshold loudness N ″ _subject and the threshold roughness R ″ _subject , Appropriate loudness coefficient A, sharpness coefficient B, and correction value C are obtained by multiple regression analysis for the preset allowable threshold EST ″ _{sharpness2 of the degree of anxiety, and from the target product 120 ′ including background noise from the equation (15). Find the estimated value EST sharpness 2 of the} degree of concern for rattle noise.

As shown in the list of FIG. 12, each preset value obtained in Experiment 1 has a loudness coefficient A = 0.72, a sharpness coefficient B = 0.25, and a correction value C = 0.46. Moreover, since the relatively high 0.757 freedom adjusted coefficient of determination R ² is showing the goodness of true formulas (15) to the obtained sensory evaluation results from the subject, care of the noise evaluation device 110 ' It was verified that _{the estimation value calculation means 117'of the degree of freedom can calculate the estimated value EST sharpness 2 of the} degree of anxiety as a value close to the sensory evaluation result.

In addition, FIG. 12 shows a sensory evaluation test in which the subject evaluates the degree of concern about rattle noise that is heard under background noise when the volume of background noise is changed and the volume of rattle noise is kept constant. (Experiment 2) By multiple regression analysis, the sensory evaluation test (Experiment 3) in which the subject evaluates the degree of concern about rattle noise when the background noise is eliminated and the time waveform of rattle noise is changed. The obtained preset values and the degree of freedom adjusted decision coefficient R ² are listed.

Further, in Experiments 1 & 2 shown in FIG. 12, preset values were obtained by multiple regression analysis using the sensory evaluation results of Experiment 1 and Experiment 2 as a population. Similarly, Experiments 1 & 3 use the sensory evaluation results of Experiments 1 and 3 as the population, Experiments 2 & 3 use the sensory evaluation results of Experiments 2 and 3 as the population, and Experiments 1 & 2 & 3 use the sensory functions of Experiments 1, 2 and 3 as the population. The preset values were obtained by multiple regression analysis using the evaluation results as the population.

From the results of the preset values (loudness coefficient A, sharpness coefficient B, correction value C) obtained by multiple regression analysis in these verification tests, the loudness coefficient A is set as a numerical value in the range of 0.7 to 1.0, and the sharpness is sharpened. It can be seen that the coefficient B may be set as a numerical value in the range of 0.1 to 0.7, and the correction value C may be set as a numerical value in the range of −1.2 to 0.5.

_{The anxiety degree evaluation means 118'sets and stores the anxiety} degree estimation value EST sharpness2 obtained by the anxiety degree estimation value calculation means 117' in the anxiety degree tolerance storage means 116f'. By comparing with the permissible threshold EST ″ _{sharpness2 of the} degree of anxiety, the degree of anxiety for rattle noise radiated from the target product 120 ′ is evaluated. For example, the permissible threshold EST ″ _{sharpness2 of the degree of anxiety is evaluated.} If "1" is set as, "anxious _{sound" is calculated when "estimated value EST sharpness2 of anxiety} degree" calculated by the equation (16) is larger than 1, and "anxious sound" is calculated. When the estimated value EST _{sharpness 2 of the} degree of bending is smaller than 1, it can be evaluated as "a sound that does not bother me". Incidentally, if the calculated "estimated value EST _Sharpness2 degree worrisome" was the same value as "acceptable threshold _EST" sharpness2 degree worrisome "and" 1 ", it distributes it to" sound anxious " It can be decided arbitrarily whether to divide it into "uninteresting sounds". Of course, when other values are given to the "permissible threshold EST" _sharpness2 "of the degree of concern, it is possible to evaluate whether or not the concern is concerned.

The evaluation result notification means 119 informs the user of the noise evaluation device 110'of the evaluation result by the degree of concern evaluation means 118', and can be displayed visually on the screen or output by voice by the speaker.

If the above-mentioned evaluation system 3'of the degree of concern about the target noise under the background noise is applied to the approximate sensory evaluation of the degree of concern about the target noise under the background noise, the target product is considered in consideration of the masking effect due to the background noise. Whether or not the rattle noise generated from 120'is anxious can be quantitatively evaluated as the "degree of anxiety" having a high correlation with the sensory evaluation result. As a result, it is possible to prevent user troubles due to insufficient suppression of rattle noise, and it is possible to prevent an increase in design / manufacturing cost due to excessive suppression of rattle noise.

Next, the approximate sensory evaluation system 3 of the target sound under the background noise according to the third embodiment is used for the approximate sensory evaluation having a high correlation with the sensory evaluation of the degree of attention (audible impression) of the sign sound under the background noise. The second application example of the applied third embodiment will be described. The attention level evaluation system 3 ″ of the sine sound under the background noise shown in FIG. 13 includes a sound signal collecting device 100 ″ and a sine sound evaluation device 110 ″.

The sound signal collecting device 100 "has a function and a sign of a sign sound acquisition device that collects a sign sound generated from a sign sound source 120" such as a fire alarm that is a source of the sign sound from a semi-unsounding room 131 with a sound collecting microphone 101. It has a function of a background noise acquisition device that collects the background noise of the sign sound output environment 132 "in an office or the like where the sound source 120" is used by the sound collecting microphone 101. The sine sound evaluation device 110 ″ has a function of approximate sensory evaluation of the degree of attention evoking whether the sine sound calls attention or not from the sine sound and background noise collected by the sound signal collecting device 100 ″.

The sine sound evaluation device 110 ″ includes a filter means 111, a pseudo-random signal creating means 112, a mixed sound source creating means 113, a loudness calculating means 114a, a sharpness calculating means 114b, an overall coefficient α calculating means 115, and a preset value storage unit 116 ″ (threshold value). Loudness storage means 116a, threshold sharpness storage means 116b, loudness coefficient storage means 116c, sharpness coefficient storage means 116d, correction value storage means 116e, permissible threshold storage means 116f ″), alertness degree estimation value calculation means 117 ″, Attention degree evaluation means 118 ″, and evaluation result notification means 119 are provided.

The filter means 111 receives the sine sound signal from the sound signal collecting device 100 ″ and transmits the sine sound frequency band (for example, 2 kHz or less) generated from the sine sound source 120 ″ to transmit the mixed sound source creating means 113 and the loudness calculation. Supply to means 114a.

The pseudo-random signal creating means 112 creates a pseudo-random signal, which is a pseudo-random signal, based on the background noise from the sound signal collecting device 100 ″, and supplies the pseudo-random signal to the mixed sound source creating means 113 and the loudness calculating means 114a.

The mixed sound source creating means 113 combines the sine sound that has passed through the filter means 111 and the pseudo-random signal created by the pseudo-random signal creating means 112 to create a mixed sound source that is a mixed noise signal, and sends it to the loudness calculating means 114a. Supply.

_{The loudness calculation means 114a uses the loudness N BGN} of the pseudo random signal created by the pseudo random signal creating means 112, _{the loudness N subject of the} mixed sound source created by the mixed sound source creating means 113, and the background noise supplied from the filter means 111. and the loudness N _'subject of sign sound that does not contain, respectively obtained, the loudness N _BGN and loudness N _subject to the sharpness calculation unit 114b, loudness N _subject and loudness N _BGN and loudness N to the "estimated value calculating means 117 of the warning degree ′ _Subject is supplied respectively.

Sharpness calculation unit 114b calculates the sharpness S _'subject [acum] by equation (6), and supplies the estimated value calculation means 117 of the alert degree ".

The total coefficient α calculation means 115 includes various information supplied from the preset value storage unit 116 ″ (threshold loudness N ″ _subject stored in the threshold loudness storage means 116a, threshold sharpness S ″ subject stored in the threshold sharpness storage means 116b ″ _subject. , Loudness coefficient A stored in the loudness coefficient storage means 116c, sharpness coefficient B stored in the sharpness coefficient storage means 116d, correction value C stored in the correction value storage means 116e, allowable threshold storage means 116f "of the degree of attention. Estimated value of the degree of attention using _{the permissible threshold EST ″ sharpness2 of} the degree of attention set in advance as a boundary value of whether or not the sign sound generated from the sign sound source 120 ″ stored in _{The overall coefficient α required for obtaining sharpness 2} is calculated by the equation (14), and the obtained overall coefficient α is supplied to the estimated value calculation means 117 ″ of the degree of attention.

The alertness estimation value calculation means 117 ″ was obtained by the loudness N _BGN [sone] of _{the pseudo-random signal obtained by the loudness calculation means 114a, the loudness N subject} [sone] of the mixed sound source, and the overall coefficient α calculation means 115. the overall coefficient alpha, the sharpness S _'subject obtained in sharpness calculation unit 114b, and loudness coefficient a stored in the loudness coefficient storage unit 116c, a sharpness coefficient B stored in the sharpness coefficient storage unit 116d, the correction value storing means _{From the correction value C stored in 116e, the estimated value EST sharpness 2 of the} degree of attention to the sign sound output from the sign sound source 120 "is obtained by the calculation of the equation (15).

The attention-calling degree evaluation means 118 ″ sets the attention-calling degree estimated value EST _sharpness2 obtained by the attention-calling degree estimated value calculating means 117 ″ in the permissible threshold value storage means 116f ″ of the attention-calling degree, and stores the attention-calling. By comparing with the allowable threshold EST ″ _{sharpness2 of the} degree, the degree of attention to the sine sound output from the sine sound source 120 ″ is evaluated. For example, “1” is set as _{the allowable threshold EST ″ sharpness2 of the degree of attention. If so, when the "estimated value of alertness} EST sharpness2" calculated by the equation (16) is larger than 1, "the volume is sufficient for alerting" and the calculated "estimated value of _{alertness EST sharpness2".} When "" is less than 1, it can be evaluated as "insufficient volume for calling attention". If the calculated "estimated value of _alertness EST sharpness2" is the same value "1" as "allowable threshold of _alertness EST" sharpness2 ", it is distributed to" volume sufficient for alerting ". It may be arbitrarily decided whether to allocate to "volume insufficient for calling attention". Of course, when other values are given to the "permissible threshold EST" _sharpness2 "of the degree of attention, it is possible to evaluate whether the attention is sufficient or insufficient in the same manner.

The evaluation result notification means 119 notifies the user of the sign sound evaluation device 110 "of the evaluation result by the attention level evaluation means 118", and can be displayed visually on the screen or output by voice by the speaker.

If the above-mentioned sine sound alertness evaluation system 3 ″ is applied to the approximate sensory evaluation of the sine sound alertness under background noise, the sine sound source 120 ″ is considered in consideration of the masking effect of the background noise. Whether the volume of the sign sound output from is sufficient or insufficient for alerting can be quantitatively evaluated as the "degree of alerting" that has a high correlation with the sensory evaluation result. As a result, it is possible to prevent a problem that the attention ventilation function cannot be fully exerted due to insufficient volume of the sign sound, and it is possible to reduce the discomfort to the listener due to the excessive output volume of the sign sound. ..

Although the sensory evaluation method of the target sound under the background noise and the sensory evaluation system of the target sound under the background noise according to the present invention have been described above based on the embodiments, the present invention is not limited to these embodiments. It includes all feasible sensory evaluation methods of the target sound under background noise and the sensory evaluation system of the target sound under background noise as the scope of rights, as long as the configuration described in the scope of the patent claim is not changed. ..

1 Approximate sensory evaluation system for target sound under background noise (first embodiment)
10 Sound signal collection device 11 Sound collection microphone 20 Target sound evaluation device 21 Filter means 22 Pseudo-random signal creation means 23 Mixed sound source creation means 24a Loudness calculation means 24b Roughness calculation means 25 Overall coefficient α calculation means 26a Threshold loudness storage means 26b Threshold roughness Storage means 26c Loudness coefficient storage means 26d Roughness coefficient storage means 26e Correction value storage means 26f Evaluation reference value storage means 27 Evaluation estimation value calculation means 28 Approximate sensory evaluation means 29 Evaluation result notification means 30 Evaluated object 41 Semi-unsounding room 42 Evaluation material usage environment

Claims (11)

It is an approximate sensory evaluation method of the target sound under the background noise, which performs an approximate sensory evaluation having a high correlation with the sensory evaluation of the audible impression of the target sound generated from the object to be evaluated under the background noise.
The target sound acquisition step for acquiring the target sound generated from the evaluated object, and
The background noise acquisition step for acquiring the background noise in the usage environment of the object to be evaluated, and
A pseudo-random signal creation step for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired in the background noise acquisition step.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired in the target sound acquisition step and the pseudo random signal created in the pseudo random signal creation step. Creation steps and
And loudness N _'subject of the target sound acquired by the target sound obtaining step, the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating step, a loudness N _subject mix sound created by the mix sound source generating step , The loudness calculation step to be obtained respectively,
From the loudness N'subject of the target sound obtained in the loudness calculation step, the roughness calculation step of _{obtaining the roughness R'subject} of the target sound, and
By using the loudness _N'subject and the roughness _R'subject of the target sound, the overall coefficient α in the following equation (1) for obtaining the evaluation estimated value EST'of the audible impression of the target sound from the evaluated object without considering the background noise. The threshold loudness N ″ _subject set in advance as an acceptable or target value as the target sound generated from the evaluated object, and the threshold value preset as the allowable or target value as the target sound generated from the evaluated object. Roughness R ″ _subject , a loudness coefficient A preset according to the target sound generated from the evaluated object, a roughness coefficient B preset according to the target sound generated from the evaluated object, and the evaluated object. The following equation (2) is used using a correction value C preset according to the target sound generated from the object and an evaluation standard threshold value EST ″ preset as a boundary value serving as an evaluation standard for the target sound generated from the object to be evaluated. ) To calculate the overall coefficient α and
EST'= α (A x _N'subject + B x _R'subject + C) ... (1)
α = EST ″ / (A × N ″ _subject ＋ B × R ″ _subject ＋ C)… (2)
From the loudness N _subject and loudness N _BGN obtained in the loudness calculation step, a roughness R _'subject which has been determined by the roughness calculation step, the whole was determined by the total coefficient α calculating step coefficient α and, the considering background noise The evaluation estimation value calculation step for obtaining the evaluation estimation value EST of the auditory impression of the target sound from the evaluation object by the following equation (3), and the evaluation estimation value calculation step.
EST = α {A × (N _subject −N _BGN ) + B × R ′ _subject + C}… (3)
An approximate sensory evaluation step for performing an approximate sensory evaluation of the target sound by comparing the evaluation estimated value of the equation (3) obtained in the evaluation estimated value calculation step with the evaluation reference threshold.
A method for approximate sensory evaluation of a target sound under background noise. This is an approximate sensory evaluation method for the target sound under background noise, which performs an approximate sensory evaluation with high correlation with the sensory evaluation of the audible impression of the target sound generated from the object to be evaluated.
The target sound acquisition step for acquiring the target sound generated from the evaluated object, and
The background noise acquisition step for acquiring the background noise in the usage environment of the object to be evaluated, and
A pseudo-random signal creation step for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired in the background noise acquisition step.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired in the target sound acquisition step and the pseudo random signal created in the pseudo random signal creation step. Creation steps and
And loudness N _'subject of the target sound acquired by the target sound obtaining step, the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating step, a loudness N _subject mix sound created by the mix sound source generating step , The loudness calculation step to be obtained respectively,
From the loudness N'subject of the target sound obtained in the loudness calculation step, the roughness calculation step of _{obtaining the roughness R'subject} of the target sound, and
_{From the loudness N subject of the} mixed sound source obtained in the loudness calculation step and _{the loudness N BGN} of the pseudo-random signal, the _{sharpness calculation step of obtaining} the sharpness S'subject of the target sound, and the sharpness calculation step.
The 'The use of _subject, evaluation estimate EST of auditory impression of target sound from the evaluation object without considering the background noise' loudness N _'subject and roughness R' _subject and sharpness S of the target sound underlying _sharpness obtained formula ( _{The overall coefficient α in 4) is the threshold loudness N ″ subject} preset as an acceptable or target value as the target sound generated from the evaluated object, and the allowable or target value as the target sound generated from the evaluated object. Depending on the threshold roughness R ″ _{subject preset as, the threshold sharpness S ″ subject} preset as an acceptable or target value as the target sound generated from the evaluated object, and the target sound generated from the evaluated object. A preset loudness coefficient A, a preset roughness coefficient B according to the target sound generated from the evaluated object, a sharpness coefficient C preset according to the target sound generated from the evaluated object, and the above. Using a correction value D preset according to the target sound generated from the evaluated object and an evaluation standard threshold EST ″ _{sharpness preset as a boundary value serving as an evaluation standard for the target sound generated from the evaluated object.} The step of calculating the overall coefficient α calculated by the following equation (5) and
_{EST 'sharpness = α (A ×} N' subject + B × R 'subject + C × S' subject + D) ... (4)
α = EST ″ _sharpness / (A × N ″ _subject ＋ B × R ″ _subject ＋ C × S ″ _subject ＋ D)… (5)
And loudness N _subject and loudness N _BGN obtained in the loudness calculation step, 'and _subject, sharpness S obtained by the sharpness calculating step' roughness R which has been determined by the roughness calculation step and _subject, calculated by the total coefficient α calculating step _{From the overall coefficient α, the evaluation estimation value calculation step for obtaining} the evaluation estimation value EST sharpness of the auditory impression of the target sound from the evaluated object in consideration of the background noise by the following equation (6), and
EST _sharpness = α {A × (N _subject −N _BGN ) ＋ B × R ′ _subject ＋ C × S ′ _subject ＋ D}… (6)
An approximate sensory evaluation step for performing an approximate sensory evaluation of the target sound by comparing _{the evaluation estimated value EST sharpness} of the equation (6) obtained in the evaluation estimated value calculation step with the evaluation reference threshold EST ″ _sharpness.
A method for approximate sensory evaluation of a target sound under background noise. This is an approximate sensory evaluation method for the target sound under background noise, which performs an approximate sensory evaluation with high correlation with the sensory evaluation of the audible impression of the target sound generated from the object to be evaluated.
The target sound acquisition step for acquiring the target sound generated from the evaluated object, and
The background noise acquisition step for acquiring the background noise in the usage environment of the object to be evaluated, and
A pseudo-random signal creation step for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired in the background noise acquisition step.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired in the target sound acquisition step and the pseudo random signal created in the pseudo random signal creation step. Creation steps and
And loudness N _'subject of the target sound acquired by the target sound obtaining step, the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating step, a loudness N _subject mix sound created by the mix sound source generating step , The loudness calculation step to be obtained respectively,
_{From the loudness N subject of the} mixed sound source obtained in the loudness calculation step and _{the loudness N BGN} of the pseudo-random signal, the _{sharpness calculation step of obtaining} the sharpness S'subject of the target sound, and the sharpness calculation step.
Wherein by using the loudness N _'subject and sharpness S' _subject of the target sound, the overall coefficient in the evaluation estimates _EST 'sharpness2 is obtained the following equation auditory impression (7) with respect to the target sound from the evaluation object without considering the background noise α is preset as a threshold loudness N ″ _subject preset as an acceptable or target value as a target sound generated from the evaluated object, and as an acceptable or target value as a target sound generated from the evaluated object. The threshold sharpness S ″ _subject , the loudness coefficient A preset according to the target sound generated from the evaluated object, the sharpness coefficient B preset according to the target sound generated from the evaluated object, and the evaluated subject. The following formula is used using a correction value C preset according to the target sound generated from the object and an evaluation standard threshold value EST ″ _{sharpness2 preset as a boundary value serving as an evaluation standard for the target sound generated from the object to be evaluated.} The step of calculating the overall coefficient α obtained by (8) and
_{EST 'sharpness2 = α (A ×} N' subject + B × S 'subject + C) ... (7)
α = EST ″ _sharpness2 / (A × N ″ _subject ＋ B × S ″ _subject ＋ C)… (8)
From the loudness N _subject and loudness N _BGN obtained in the loudness calculation step, the sharpness S _'subject which has been determined by the sharpness calculating step, the whole was determined by the total coefficient α calculating step coefficient α and, the considering background noise _{The evaluation estimation value calculation step for obtaining the evaluation estimation value EST sharpness 2} of the auditory impression of the target sound from the evaluation object by the following equation (9), and
EST _sharpness2 = α {A × (N _subject −N _BGN ) + B × S ′ _subject + C}… (9)
An approximate sensory evaluation step for performing an approximate sensory evaluation of the target sound by comparing _{the evaluation estimated value EST sharpness2} of the equation (9) obtained in the evaluation estimated value calculation step with the evaluation reference threshold EST ″ _sharpness2.
A method for approximate sensory evaluation of a target sound under background noise. The target sound is the target noise generated from the object to be evaluated.
The degree of concern about whether the target noise generated from the evaluated object is anxious or not under the background noise is obtained as an evaluation estimation value.
The item according to any one of claims 1 to 3, wherein the degree of anxiety of the target noise under the background noise is approximately sensory-evaluated based on the evaluation estimation value of the degree of anxiety. Approximate sensory evaluation method of target sound under the above-mentioned background noise. The target sound is a sine sound output from the evaluated object as a sine sound source.
The degree of caution as to whether the sign sound output from the evaluated object calls attention or does not call attention under the background noise is obtained as an evaluation estimation value.
The invention according to any one of claims 1 to 3, wherein the attention level of the sine sound under the background noise is approximately sensory-evaluated based on the evaluation estimation value of the level of attention. Approximate sensory evaluation method for target sound under background noise. It is an approximate sensory evaluation system for the target sound under the background noise, which performs an approximate sensory evaluation with high correlation with the sensory evaluation of the audible impression of the target sound generated from the object to be evaluated under the background noise.
A target sound acquisition device that acquires the target sound generated from the evaluated object, and
A background noise acquisition device that acquires background noise in the environment in which the object to be evaluated is used,
Using the target sound acquired by the target sound acquisition device and the background noise acquired by the background noise acquisition device, evaluation estimation of the audible impression of the target sound in consideration of the background noise in the usage environment of the object to be evaluated. A target sound evaluation device that obtains a value and performs an approximate sensory evaluation of the target sound generated from the evaluated object based on the evaluation estimated value.
An approximate sensory evaluation system for target sounds under background noise. The target sound evaluation device is
A pseudo-random signal creating means for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired by the background noise acquisition device.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired by the target sound acquisition device and the pseudo random signal created by the pseudo random signal creating means. The means of creation and
And loudness N _'subject of the acquired target sound in the target sound acquisition apparatus, and the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating means, the loudness N _subject mix sound created by the mix sound creation means , The loudness calculation method to be obtained respectively,
'From _subject, the roughness R of the target sound' loudness N of the target sound which has been determined by the loudness calculating means and roughness calculating means for determining a _subject,
A threshold loudness storage means for storing _{a threshold loudness N ″ subject} preset as an acceptable or target value as a target sound generated from the evaluated object, and
A threshold roughness storage means for storing _{a threshold roughness R ″ subject} preset as a permissible or target value as a target sound generated from the evaluated object, and a threshold roughness storage means.
A loudness coefficient storage means for storing a preset loudness coefficient A according to a target sound generated from the evaluated object, and a loudness coefficient storage means.
A roughness coefficient storage means for storing a preset roughness coefficient B according to a target sound generated from the evaluated object, and a roughness coefficient storage means.
A correction value storage means for storing a correction value C preset according to a target sound generated from the evaluated object, and a correction value storage means.
An evaluation standard threshold storage means for storing a preset evaluation standard threshold EST "as a boundary value that serves as an evaluation standard for the target sound generated from the evaluated object, and an evaluation standard threshold storage means.
By using the loudness _N'subject and the roughness _R'subject of the target sound, the overall coefficient α in the following equation (1) for obtaining the evaluation estimated value EST'of the auditory impression of the target sound from the evaluated object without considering the background noise. With the means for calculating the overall coefficient α obtained by the following equation (2),
EST'= α (A x _N'subject + B x _R'subject + C) ... (1)
α = EST ″ / (A × N ″ _subject ＋ B × R ″ _subject ＋ C)… (2)
From the loudness N _subject and loudness N _BGN which has been determined by the loudness calculating means, and the roughness R _'subject which has been determined by the roughness calculating means, the whole was determined by the total coefficient α calculating means coefficient α and, the considering background noise An evaluation estimation value calculation means for obtaining an evaluation estimation value EST of the auditory impression of the target sound from the evaluation object by the following equation (3), and
EST = α {A × (N _subject −N _BGN ) + B × _R'subject + C}… (3)
An approximate sensory evaluation means that performs an approximate sensory evaluation of the target sound by comparing the evaluation estimated value EST of the equation (3) obtained by the evaluation estimated value calculating means with the evaluation reference threshold EST ".
6. The approximate sensory evaluation system for a target sound under background noise according to claim 6. The target sound evaluation device is
A pseudo-random signal creating means for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired by the background noise acquisition device.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired by the target sound acquisition device and the pseudo random signal created by the pseudo random signal creating means. The means of creation and
And loudness N _'subject of the acquired target sound in the target sound acquisition apparatus, and the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating means, the loudness N _subject mix sound created by the mix sound creation means , The loudness calculation method to be obtained respectively,
'From _subject, the roughness R of the target sound' loudness N of the target sound which has been determined by the loudness calculating means and roughness calculating means for determining a _subject,
And loudness N _subject mix sound which has been determined by the loudness calculating means, and a loudness N _BGN pseudo random signal, a sharpness calculating means for calculating a sharpness S _'subject of the target sound,
A threshold loudness storage means for storing _{a threshold loudness N ″ subject} preset as an acceptable or target value as a target sound generated from the evaluated object, and
A threshold roughness storage means for storing _{a threshold roughness R ″ subject} preset as a permissible or target value as a target sound generated from the evaluated object, and a threshold roughness storage means.
A threshold sharpness storage means for storing _{a threshold sharpness S ″ subject} preset as a permissible or target value as a target sound generated from the evaluated object, and
A loudness coefficient storage means for storing a preset loudness coefficient A according to a target sound generated from the evaluated object, and a loudness coefficient storage means.
A roughness coefficient storage means for storing a preset roughness coefficient B according to a target sound generated from the evaluated object, and a roughness coefficient storage means.
A sharpness coefficient storage means for storing a preset sharpness coefficient C according to a target sound generated from the evaluated object, and a sharpness coefficient storage means.
A correction value storage means for storing a correction value D preset according to the target sound generated from the evaluated object, and a correction value storage means.
An evaluation standard threshold storage means for storing a _preset evaluation standard threshold EST ″ sharpness as a boundary value that serves as an evaluation standard for the target sound generated from the evaluated object, and
The 'The use of _subject, evaluation estimate EST of auditory impression of target sound from the evaluation object without considering the background noise' loudness N _'subject and roughness R' _subject and sharpness S of the target sound underlying _sharpness obtained formula ( The total coefficient α calculation means for obtaining the total coefficient α in 4) by the following equation (5),
_{EST 'sharpness = α (A ×} N' subject + B × R 'subject + C × S' subject + D) ... (4)
α = EST ″ _sharpness / (A × N ″ _subject ＋ B × R ″ _subject ＋ C × S ″ _subject ＋ D)… (5)
And loudness N _subject and loudness N _BGN obtained in the loudness calculation means, 'and _subject, sharpness S obtained by the sharpness calculating device' roughness R which has been determined by the roughness calculating means and the _subject, calculated by the total coefficient α calculating means _{From the overall coefficient α, the evaluation estimation value calculation means for obtaining} the evaluation estimation value EST sharpness of the auditory impression of the target sound from the evaluated object in consideration of the background noise by the following equation (6), and
EST _sharpness = α {A × (N _subject −N _BGN ) ＋ B × R ′ _subject ＋ C × S ′ _subject ＋ D}… (6)
An approximate sensory evaluation means that performs an approximate sensory evaluation of the target sound by comparing _{the evaluation estimated value EST sharpness} of the equation (6) obtained by the evaluation estimated value calculation means with the evaluation reference threshold EST ″ _sharpness.
6. The approximate sensory evaluation system for a target sound under background noise according to claim 6. The target sound evaluation device is
A pseudo-random signal creating means for creating a pseudo-random signal, which is a pseudo-random signal, based on the background noise acquired by the background noise acquisition device.
A mixed sound source that creates a mixed sound source that is a mixed target sound signal including the target sound and background noise by combining the target sound acquired by the target sound acquisition device and the pseudo random signal created by the pseudo random signal creating means. The means of creation and
And loudness N _'subject of the acquired target sound in the target sound acquisition apparatus, and the loudness N _BGN pseudo-random signal generated by the pseudo random signal generating means, the loudness N _subject mix sound created by the mix sound creation means , The loudness calculation method to be obtained respectively,
And loudness N _subject mix sound which has been determined by the loudness calculating means, and a loudness N _BGN pseudo random signal, a sharpness calculating means for calculating a sharpness S _'subject of the target sound,
A threshold loudness storage means for storing _{a threshold loudness N ″ subject} preset as an acceptable or target value as a target sound generated from the evaluated object, and
A threshold sharpness storage means for storing _{a threshold sharpness S ″ subject} preset as a permissible or target value as a target sound generated from the evaluated object, and
A loudness coefficient storage means for storing a preset loudness coefficient A according to a target sound generated from the evaluated object, and a loudness coefficient storage means.
A sharpness coefficient storage means for storing a preset sharpness coefficient B according to a target sound generated from the evaluated object, and a sharpness coefficient storage means.
A correction value storage means for storing a correction value C preset according to a target sound generated from the evaluated object, and a correction value storage means.
An evaluation standard threshold storage means for storing a _preset evaluation standard threshold EST ″ sharpness2 as a boundary value as an evaluation standard for the target sound generated from the evaluated object, and
Wherein by using the loudness N _'subject and sharpness S' _subject of the target sound, the overall coefficient in the evaluation estimates _EST 'sharpness2 is obtained the following equation auditory impression (7) with respect to the target sound from the evaluation object without considering the background noise With the means for calculating the overall coefficient α, which obtains α by the following equation (8),
_{EST 'sharpness2 = α (A ×} N' subject + B × S 'subject + C) ... (7)
α = EST ″ _sharpness2 / (A × N ″ _subject ＋ B × S ″ _subject ＋ C)… (8)
From the loudness N _subject and loudness N _BGN which has been determined by the loudness calculating means, and the sharpness S _'subject which has been determined by the sharpness calculating device, the whole was determined by the total coefficient α calculating means coefficient α and, the considering background noise _{An evaluation estimation value calculation means for obtaining the evaluation estimation value EST sharpness 2} of the auditory impression of the target sound from the evaluation object by the following equation (9), and
_{EST sharpness2 = α {A × (} N subject -N BGN) + BS 'subject + C} ... (9)
An approximate sensory evaluation means that performs an approximate sensory evaluation of the target sound by comparing _{the evaluation estimated value EST sharpness2} of the equation (9) obtained by the evaluation estimated value calculation means with the evaluation reference threshold EST ″ _sharpness2.
6. The approximate sensory evaluation system for a target sound under background noise according to claim 6. The target sound acquisition device for the previous term shall acquire the target noise generated from the object to be evaluated.
The target sound evaluation device obtains the degree of concern as an evaluation estimation value as to whether or not the target noise generated from the object to be evaluated is anxious under the background noise, and uses the evaluation estimation value of the degree of anxiety as the evaluation estimation value. Based on the above, the approximation of the target sound under the background noise according to any one of claims 6 to 9, wherein the degree of concern of the target noise under the background noise is approximately sensory evaluated. Sensory evaluation system. The target sound acquisition device shall acquire the sine sound output from the evaluated object as the sine sound source.
The target sound evaluation device obtains the degree of attention as an evaluation estimation value as to whether or not the sign sound output from the evaluated object calls attention under the background noise, and uses the evaluation estimation value of the degree of attention. Based on the above, the approximate sensory sensitivity of the target sound under the background noise according to any one of claims 6 to 9, wherein the degree of attention of the sine sound under the background noise is approximately sensory evaluated. Rating system.

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