JP6667607B1 - Listening experiment tool and listening experiment server - Google Patents

Abstract

PROBLEM TO BE SOLVED: To easily carry out a subjective evaluation experiment and to easily collect the evaluation data. SOLUTION: A hearing experiment tool 141 has a process of uploading a sound from an external device 2 to a CPU 11 of a cloud server 1 having a storage unit 14 and a screen for selecting one of a plurality of hearing experiments from a PC 3 or a tablet terminal. 4, displaying the selected hearing test on the PC 3 or the tablet terminal 4, storing the subjective amount obtained in the hearing test in the storage unit 14, and the subjective amount obtained in the hearing test. This is for executing the process of displaying on the PC 3 or the tablet terminal 4. [Selection diagram] Fig. 1

Description

  The present invention relates to a listening experiment tool and a listening experiment server.

Regarding the operation sound and vibration sound of equipment, subjective quality is determined in order to improve the quality of equipment in addition to quantitative measurement and analysis. The subjective quality is evaluated by performing a subjective evaluation (sensory evaluation) of the operation sound and the vibration sound of the device.
Patent Literature 1 describes an invention relating to a method for quantifying noise and vibration, and a sensory evaluation, and an apparatus therefor.

JP 01-260327 A

However, there is a problem that the subjective evaluation experiment and the aggregation of the evaluation data are manually performed, and therefore, a large number of man-hours and time are required, which is complicated.
Therefore, an object of the present invention is to easily carry out a subjective evaluation experiment on a hearing experiment tool and a hearing experiment server, and to easily aggregate the evaluation data.

  The hearing experiment tool of the present invention includes a step of uploading a sound source from a terminal to a server provided with a storage unit, a step of displaying a screen for selecting any one of a plurality of hearing experiments on the terminal, and performing the selected hearing experiment on the terminal. A step of executing at the terminal, a step of storing the subjective amount obtained by the hearing experiment in the storage unit, and a step of displaying the subjective amount obtained by the listening experiment on the terminal are executed.

The hearing experiment server of the present invention includes a communication unit for communicating with a terminal, a subjective unit obtained by the communication unit on the terminal, and a storage unit for storing the received subjective amount. A screen for selecting any one of the following is displayed on the terminal by the communication means, the selected hearing experiment is performed on the terminal, and the subjective amount obtained in the hearing experiment is displayed on the terminal by the communication means. It is characterized by comprising control means.
Other means will be described in the embodiments for carrying out the invention.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to perform a subjective evaluation experiment easily about a hearing experiment tool and a hearing experiment server, and to easily aggregate the evaluation data.

It is a lineblock diagram showing the outline of the hearing experiment system in this embodiment. It is a block diagram of a tablet terminal. It is a mode transition diagram of a hearing experiment tool. It is a figure showing an experiment selection screen. It is a figure showing an experiment explanation screen. It is a figure showing an experiment screen by an adjustment method. It is a figure showing an experiment screen by a limit method. It is a figure which shows the experiment screen by a constant method. It is a figure showing an experiment screen by the ME method. It is a figure showing an experiment screen by a rating scale method. It is a figure showing an experiment screen by a pair comparison method. It is a figure showing an experiment screen by the SD method. It is a figure showing an experiment result screen by SD method. It is a figure showing an experiment screen by a category continuous judgment method. It is a figure showing an experimental screen by a line segment adjustment method. It is a figure showing an experiment result screen by a category continuation judgment method. It is a figure showing an experiment screen by an evaluation grid method. It is a figure showing an experiment result screen by an evaluation grid method. It is a block diagram of an external device. It is a conceptual diagram which shows operation | movement of a time-series sound evaluation method. It is a flowchart which shows the process (the 1) which produces | generates the correlation coefficient table of subjective quantity-physical quantity, physical quantity-physical quantity, and subjective quantity-subjective quantity. It is a flowchart which shows the process (the 2) which produces | generates the correlation coefficient table of subjective quantity-physical quantity, physical quantity-physical quantity, and subjective quantity-subjective quantity. It is a figure which shows the correlation coefficient table of subjective quantity-physical quantity, physical quantity-physical quantity, and subjective quantity-subjective quantity. It is a figure which shows the correlation coefficient table of subjective quantity-physical quantity, physical quantity-physical quantity, and subjective quantity-subjective quantity. It is a flowchart which shows the process which produces | generates the correlation coefficient table of a subjective quantity by the test subject of a different specification. It is a figure which shows the correlation coefficient table of the subjective quantity by the subject of a different specification. It is a figure which shows another way of showing the correlation coefficient between subjective quantities. It is the figure which expressed another way of showing the correlation coefficient between subjective quantities for every test subject. It is a figure which shows the reproducibility confirmation data by SD method. It is a figure which shows the accumulation by SD method, and a histogram. It is a figure which shows the average and the deviation of the evaluation word by SD method. FIG. 9 is a diagram in which an average and a deviation of evaluation words by the SD method are normalized. It is a comparative figure of the experimental result by SD method. It is a figure showing what filtered the experiment result by SD method by predetermined data. FIG. 9 is a diagram showing a histogram obtained by filtering the experimental results by the SD method with predetermined data in a line graph. It is the figure which compared the experimental result by SD method for every test subject. FIG. 7 is a diagram comparing experimental results by the SD method for each sound source. It is the figure which compared the experimental result by SD method by performing overwriting for every sound source for every test subject. It is the figure which compared the experiment result by SD method by performing overwriting for every test subject for every evaluation word. It is the figure which performed the principal component analysis of the experimental result by SD method. It is the figure which carried out the cluster analysis of the experimental result by SD method.

Hereinafter, embodiments for carrying out the present invention will be described in detail with reference to the drawings.
FIG. 1 is a configuration diagram illustrating an outline of a hearing experiment system according to the present embodiment.
The hearing experiment system is configured such that the cloud server 1 is communicably connected to an external device 2, a PC 3, and a tablet terminal 4 via a network N. The cloud server 1 is a listening experiment server that transmits a Web page to the external device 2, the PC 3, the tablet terminal 4, or the like, receives operation information of the Web page by the user, and performs various operations. The user referred to here includes an administrator who manages the hearing experiment system, an experimenter who performs an auditory experiment using the hearing experiment system, and a subject who receives an individual subjective evaluation experiment in accordance with the experimenter's instruction. As shown in FIG. 3, which will be described later, the administrator, the experimenter, and the subject have different authorities for using the hearing experiment system.

An external microphone 5a and headphones 6a are connected to the external device 2. The configuration of the external device 2 will be described later with reference to FIG. An external microphone 5b and headphones 6b are connected to the PC3. An external microphone 5c and headphones 6c are connected to the tablet terminal 4. The configuration of the tablet terminal 4 will be described later with reference to FIG. The microphones 5a to 5c and the headphones 6a to 6c enable input and output of high-quality sound. Thus, it is recommended to use high-quality external headphones and microphones in the hearing experiment.
The present invention is not limited to this, and the cloud server 1 may be communicably connected to a terminal such as a so-called smartphone and operate.

  The cloud server 1 is a computer including a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a storage unit 14, and a communication unit 15. The storage unit 14 is, for example, a hard disk, and stores an auditory experiment tool 141 as a program, a sound source 142, a subjective quantity 143, a physical quantity 144, relationship information 145, and subject information 146 as data.

  The auditory experiment tool 141 is a tool for performing various auditory experiments from execution to output of results, and may perform an evaluation accompanied by physical quantity analysis. The auditory sense experiment tool 141 functions as a server-side program, and displays an experiment screen or a result screen on the PC 3 or the tablet terminal 4 when accessed from the PC 3 or the tablet terminal 4 with a browser. The CPU 11 implements various functions by reading the hearing experiment tool 141 into the RAM 13 and executing it.

  The ROM 12 is a nonvolatile memory and stores, for example, a BIOS (Basic Input / Output System). The RAM 13 is a volatile memory, and is used, for example, as a work area when the CPU 11 reads the hearing experiment tool 141 or executes the hearing experiment tool 141. The communication unit 15 is, for example, an NIC (Network Interface Card), and communicates with an external device via the network N.

The sound source 142 is information on a plurality of sounds to be subjected to the subjective evaluation. The subjective quantity 143 is a result of subjectivity evaluation of one of the sound sources 142. The physical quantity 144 is the loudness, sharpness, volume, or the like of any of the sound sources 142. The relationship information 145 is information relating to the mutual relationship between the subjective quantities 143 and the mutual relationship between the subjective quantity 143 and the physical quantities 144. The subject information 146 is data such as the occupation type, age, gender, nationality, and living area of the subject of the subjective evaluation.
The subjective quantity 143, the analyzed physical quantity 144, the relationship information 145, the subject information 146, and the like, which are the results of the experiment, are all stored and managed in the storage unit 14 as a database on the cloud server 1. These databases themselves can be used according to the authority of the user.

  The external device 2 records the sound to be evaluated and uploads information on the sound to the cloud server 1. The cloud server 1 stores the information of the sound uploaded by the external device 2 in the storage unit 14.

  The cloud server 1 causes the PC 3 or the tablet terminal 4 to display a screen for selecting any one of the plurality of hearing experiments, to execute the selected hearing experiment, and to use the result obtained in the hearing experiment as the subjective amount 143. It is stored in the storage unit 14. The cloud server 1 causes the PC 3 and the tablet terminal 4 to display the subjective amount 143 obtained in the listening experiment.

FIG. 2 is a configuration diagram of the tablet terminal 4.
The tablet terminal 4 is a computer including a CPU 41, a ROM 42, a RAM 43, and a memory 44. The tablet terminal 4 further includes a touch panel display 45, a built-in speaker 46, a built-in microphone 47, a communication unit 48, and an interface 49. The memory 44 stores a browser program 441. When the CPU 41 executes the browser program 441, a Web page browsing / operation function is realized.

The touch panel display 45 is configured by laminating a transparent touch panel on, for example, a liquid crystal display or an organic EL (Electro Luminescence). The touch panel display 45 functions as a display unit and an operation unit.
The built-in speaker 46 converts the sound source 142 into sound. The built-in microphone 47 converts sound into a sound source 142. The communication unit 48 is, for example, an NIC, and communicates with an external device via the network N. The interface 49 is an input / output terminal to which, for example, an external microphone 5c or headphones 6c (see FIG. 1) is connected.

FIG. 3 is a mode transition diagram of the hearing experiment tool 141.
When the user accesses the cloud server 1 with the tablet terminal 4 or the PC 3, a series of listening experiments starts.

The mode M10 is a mode in which the tablet terminal 4 or the PC 3 displays a cover. When the user clicks an arbitrary place on the cover, the hearing experiment system transits to the mode M11.
The mode M11 is a mode in which the tablet terminal 4 or the PC 3 displays a login screen. When the user inputs the account information, the hearing experiment system transits to the mode M12. Note that a button for newly registering an ID is displayed on this login screen. By clicking this button, the user's specifications such as ID, password, occupation, date of birth, gender, nationality, and living area can be registered in subject information 146. When a user performs a hearing experiment as a subject, the results of the experiment can be tabulated and compared for each subject.

  The mode M12 is a mode in which the tablet terminal 4 or the PC 3 displays a selection screen. When the user clicks an experiment selection button (not shown), the auditory sense experiment system transitions to mode M13. The user at this time is a subject of the hearing experiment. When the user clicks a result list button (not shown), the auditory sense experiment system transitions to mode M15. When the user clicks a new experiment registration button (not shown), the hearing experiment system transitions to a mode M16 for newly registering an experiment. The user at this time is an experimenter who performs a hearing experiment using the hearing experiment system, or a manager who manages the hearing experiment system. In FIG. 3, the operation subject of each mode is described in the lower half of each mode.

The mode M13 is a mode in which the tablet terminal 4 or the PC 3 displays an experiment selection screen. When the subject as the user selects (clicks) any of the experiments, the auditory sense experiment system transitions to mode M14.
The mode M14 is a mode for performing an experiment selected by the user on the tablet terminal 4 or the PC 3. When the test subject who is the user completes a series of experiments, the auditory sense experiment system transitions to mode M17.

The mode M15 is a mode in which the tablet terminal 4 or the PC 3 displays a list of experimental results. When the experimenter or the user who is the administrator selects (clicks) any result, the auditory sense experiment system transitions to mode M17.
The mode M17 is a mode in which the tablet terminal 4 or the PC 3 displays an experiment result. When the user who is the experimenter or the administrator clicks anywhere on the screen, the hearing experiment system transitions to mode M18.

  The mode M18 is a mode in which the tablet terminal 4 or the PC 3 displays a selection screen for displaying results. The user who is the experimenter or the administrator clicks the correlation confirmation button to transit to the mode M19 for displaying the correlation confirmation, and clicks the experiment result detail button to transit to the mode M20 for displaying the experiment result details. I do. Further, when the user clicks the multivariate analysis button, the mode transits to the mode M21 for displaying a multivariate analysis result.

FIG. 4 is a diagram showing an experiment selection screen 70.
The experiment selection screen 70 is a screen shown in the mode M13 shown in FIG. 3, and displays a combination of an experiment name and an experiment method.
The option 700 is that the experiment name is “door closing sound A” and the experiment method is “SD method”. This indicates that the door closing sound A is to be subjected to an audibility test using the SD (Semantic Differential) method.

In the option 701, the experiment name is “running sound A” and the experiment method is “adjustment method”. This indicates that an audibility test of the adjustment method is performed for the traveling sound A.
The choice 702 is that the experiment name is “running sound A” and the experiment method is “extreme method”. This indicates that the limit sound hearing experiment is performed on the traveling sound A.

The choice 703 is that the experiment name is “door closing sound A” and the experiment method is “pair comparison method”. This indicates that a paired comparison hearing test is performed on the door closing sound A.
The choice 704 is that the experiment name is “door closing sound B” and the experiment method is “SD method”. This indicates that an auditory sense experiment of the SD method is performed for the door closing sound B.

The option 705 is that the experiment name is “door lock sound C” and the experiment method is “SD method”. This indicates that an auditory sense experiment of the SD method is performed for the door lock sound C.
The choice 706 is that the experiment name is “door lock sound C” and the experiment method is “paired comparison method”. This indicates that an auditory sense experiment of the paired comparison method is performed for the door lock sound C.
The user (subject or experimenter) clicks on the option corresponding to the experiment he wants to take. When the user selects any of the options 700 to 706, the selected experiment is started, and the screen changes to a screen during the experiment.

FIG. 5 is a diagram showing an experiment explanation screen 71.
The experiment explanation screen 71 is a screen first commonly shown in the mode M14 shown in FIG. The title of the experiment explanation screen 71 is "experiment explanation", and below it, "I am about to start a hearing experiment." Further, on the experiment explanation screen 71, a demo playback button 711, a practice start button 712, and a production start button 713 are displayed.

The demonstration reproduction button 711 is a button for reproducing a demonstration sound source.
The practice start button 712 is a button for starting a practice experiment, and the production start button 713 is a button for starting a production experiment. In the practice experiment, a simplified experiment such as reducing the number of trials compared to the actual experiment is performed as practice.

FIG. 6 is a diagram showing an experiment screen by the adjustment method.
The adjustment method experiment screen 72 is a screen displayed after an experiment of the adjustment method is selected on the experiment selection screen 70 in FIG. 4 and the screen is changed to the experiment explanation screen in FIG. The adjustment method experiment screen 72 displays a play button 720, a reference sound slider 721, an evaluation sound slider 722, and a completion button 723. Further, below the play button 720, a message "Adjust the size of the evaluation sound so that it sounds as loud as the reference sound" is displayed. This teaching is an example, and the evaluation target may be various, such as "Like the same height", and is not limited to the embodiment shown in FIG.

The play button 720 is a button for playing the reference sound and the evaluation sound in the sound source 142 to be tested in pairs.
The reference sound slider 721 is fixed at the center. The evaluation sound slider 722 can be set at any position from the upper end to the lower end, and is used to adjust the volume of the evaluation sound to be reproduced.
After clicking the play button 720, the subject repeats adjusting the evaluation sound slider 722. Thus, the next time the play button 720 is clicked, the volume of the evaluation sound changes without changing the reference sound. The test subject completes the experiment using this adjustment method when the reference sound and the evaluation sound are heard at the same volume.
The completion button 723 is a button for completing the listening experiment of this adjustment method. Thereby, the hearing experiment system transits to the experiment result of the mode M17 in FIG. In some cases, a “next” button may be provided on each experiment screen to move to a test for the next sound after one test is completed. Thereby, a plurality of tests can be performed one after another without transiting to the experiment result of mode M17 and without returning to the selection screen of mode M12 in FIG.

FIG. 7 is a diagram showing an experimental screen based on the limit method.
The limit method is an experimental method in which a stimulus is changed in a certain direction at a certain step, and a judgment of a subject is obtained at each step. For example, in the limit method, the auditory sensation experiment system sequentially reproduces sounds that increase by 3 dB, and causes the subject to input a determination result.
Note that the experimental screen by the limit method is not limited to the embodiment shown in FIG.

The limit method experiment screen 73a is a screen displayed after selecting the limit method experiment on the experiment selection screen 70 in FIG. 4 and transiting to the experiment explanation screen in FIG. The limit method experiment screen 73a displays a play button 730, a "large" button 731, an "equal" button 732, a "small" button 733, and a completion button 734. Further, along with the play button 730, a message "Reproduce the reference sound and the evaluation sound as a pair. How does the evaluation sound sound compared to the reference sound?" Is displayed.
The play button 730 is a button for playing the reference sound and the evaluation sound in the sound source 142 to be tested in pairs.
The “loud” button 731, the “equal” button 732, and the “small” button 733 are buttons for inputting a subjective evaluation result of how the subject heard the evaluation sound compared to the reference sound. When the subject clicks the play button 730 on the limit method experiment screen 73a, the auditory sense experiment system reproduces a reference sound of a predetermined volume and reproduces an evaluation sound. The subject inputs the subjective evaluation results of the reference sound and the evaluation sound. Next, when the subject clicks the play button 730, the auditory sense experiment system plays back the reference sound having the same volume as the previous time and plays back the evaluation sound louder than the previous time. The subject inputs the subjective evaluation results of the reference sound and the evaluation sound. By repeating this, an experiment of the limit method is performed.

  The completion button 734 is a button for completing the hearing test of the limit method. Thereby, the hearing experiment system transits to the experiment result of the mode M17 in FIG.

FIG. 8 is a view showing an experiment screen by the constant method.
Unlike the limit method, the constant method is a method of randomly presenting a stimulus. In the constant method, the system randomly changes the evaluation sound such as 35 dB → 60 dB → 45 dB.
Note that the experiment screen by the constant method is not limited to the embodiment shown in FIG.

The constant method experiment screen 73b is a screen displayed after selecting the constant method experiment on the experiment selection screen 70 in FIG. 4 and transiting to the experiment explanation screen in FIG. On the constant method experiment screen 73b, a play button 730, a "large" button 731, an "equal" button 732, a "small" button 733, and a completion button 734 are displayed. Further, below the play button 730, a message of "How does the evaluation sound sound compared to the reference sound?" Is displayed.
The play button 730 is a button for playing the reference sound and the evaluation sound in the sound source 142 to be tested only once as a pair.
The “loud” button 731, the “equal” button 732, and the “small” button 733 are buttons for inputting a subjective evaluation result of how the subject heard the evaluation sound compared to the reference sound. When the subject clicks the play button 730 on the constant method experiment screen 73b, the auditory sense experiment system reproduces a reference sound of a predetermined volume and reproduces an evaluation sound of a random volume only once. The subject inputs the subjective evaluation results of the reference sound and the evaluation sound. Thus, an experiment using the constant method is performed.

  The completion button 734 is a button for completing this constant hearing test. Thereby, the hearing experiment system transits to the experiment result of the mode M17 in FIG.

FIG. 9 is a diagram showing an experiment screen based on the ME (magnitude estimation) method.
In the ME method, a reference stimulus is not specified, a subjective evaluation is performed for each presented sound, and a positive number is answered. The ME method experiment screen 74 is a screen displayed after an experiment of the ME method is selected on the experiment selection screen 70 of FIG. 4 and the screen is changed to the experiment explanation screen of FIG. On the ME method experiment screen 74, a play button 740, a numerical value input box 741, and a completion button 742 are displayed.
The play button 740 is a button for playing the sound source 142 that is the subject of the experiment. Under the play button 740, a message "Please tell us various sounds. Please assign a positive number that seems to reflect the volume of the sound."
The numerical value input box 741 is for inputting the size of the sensation felt by the subject with a numeral. Here, the subject inputs one of the numerals 1 to 5 into the numerical value input box 741 according to the practice and the actual performance.
The completion button 742 is a button for completing the hearing experiment of the ME method. Thereby, the hearing experiment system transits to the experiment result of the mode M17 in FIG.
Note that the experiment screen by the ME method is not limited to the embodiment shown in FIG.

FIG. 10 is a diagram showing an experiment screen according to the rating scale method.
The rating scale method is a method of evaluating sensory size in gradual categories. The rating scale method experiment screen 75 is a screen displayed after an experiment of the rating scale method is selected on the experiment selection screen 70 in FIG. 4 and the screen is changed to the experiment explanation screen in FIG. On the rating scale method experiment screen 75, a play button 750, a category selection 751, and a completion button 752 are displayed.
The play button 750 is a button for playing the sound source 142 that is the object of the experiment. Below this play button 750, a message "Please tell us various sounds. Please judge the impression of the sound volume in the following five categories" is displayed.
The category selection 751 is for inputting the sensory size felt by the subject as a stepwise category. On the rating scale method experiment screen 75, the subject inputs the results of evaluation in five levels of +2, +1, 0, -1, and -2 according to the practice and the actual performance.
The completion button 752 is a button for completing the listening experiment of the rating scale method. Thereby, the hearing experiment system transits to the experiment result of the mode M17 in FIG.
The experiment screen based on the rating scale method is not limited to the embodiment shown in FIG.

FIG. 11 is a view showing an experiment screen by the paired comparison method.
The paired comparison experiment screen 76 is a screen displayed after an experiment of the paired comparison method is selected on the experiment selection screen 70 of FIG. 4 and the screen is changed to the experiment explanation screen of FIG. On the paired comparison experiment screen 76, a play button 760, a "pretty" button 761, a "some" button 762, a "neither" button 763, a "some" button 764, a "pretty" button 765, and a completion button 766 are displayed. ing.
The play button 760 is a button for playing a pair of the sound sources 142 to be tested. Following this play button 760, the message "Two sounds are paired. Please judge how strong or weak the sound after compared with the sound before" is displayed. Is done.
The “pretty” button 761, the “somewhat” button 762, the “neither” button 763, the “somewhat” button 764, and the “pretty” button 765 select the degree to which the subject perceived the later sound as compared to the previous sound. It is a button to input manually.
The completion button 766 is a button for completing the hearing experiment of the rating scale method. Thereby, the hearing experiment system transits to the experiment result of the mode M17 in FIG.
The experiment screen by the paired comparison method is not limited to the embodiment shown in FIG.

FIG. 12 is a diagram showing an experiment screen by the SD method.
The SD method experiment screen 77 is a screen displayed after selecting the SD method experiment on the experiment selection screen 70 in FIG. 4 and transiting to the experiment explanation screen in FIG. On the SD method experiment screen 77, a play button 770, radio buttons 771 to 775, and a “next” button 776 are displayed.

The play button 770 is a button for playing the sound source 142 that is the object of the experiment. Following the play button 770, a message "How do you feel this sound" is displayed.
The radio button 771 is used to input a subjective evaluation that is divided into seven levels from “strong” to “weak”. These seven stages are "very", "pretty", "somewhat", "neither", "some", "very", and "very". I have.

The radio button 772 is used to input a subjective evaluation that is classified into seven levels from “noisy” to “quiet”.
The radio button 773 is used to input a subjective evaluation that is classified into seven stages from “busy” to “relaxed”.

The radio button 774 is used to input a subjective evaluation that is divided into seven stages from “hard” to “soft”.
The radio button 775 is used to input a subjective evaluation that is divided into seven levels from “sharp” to “dull”.
The “next” button 776 is a button for transiting to the experiment result screen 87 shown in FIG.
Note that the experimental screen by the SD method is not limited to the embodiment shown in FIG.

FIG. 13 is a view showing an experiment result screen by the SD method.
The experiment result screen 87 displays a subjective amount display 871, a subjective amount selection 872, a “reference: compare data” button 873, and a “reference: all data” button 874.

  The subjective amount display 871 includes “powerful” and “weak”, “noisy” and “quiet”, “busy” and “relaxed”, “hard” and “soft”, “sharp” and “dull”. Are displayed for five sets of opposite words. The circle indicates the evaluation result frequency of all the members, and the broken line indicates the evaluation result of the logged-in subject. Thus, the experimenter or the administrator can compare the evaluation of each subject with the average of the subjective evaluations of all the subjects.

The subjective amount selection 872 is a switch for selecting an item displayed on the subjective amount display 871.
A “reference: data comparison” button 873 is a button for comparing the average value of the evaluation data of the logged-in individual and the evaluation data of all the members.
A “reference: all data” button 874 is a button for displaying the average value of the evaluation data of all the members.

FIG. 14A is a diagram showing an experiment screen by the category continuous judgment method.
The category continuous judgment method experiment screen 78 is a screen displayed after selecting the experiment of the category continuous judgment method on the experiment selection screen 70 of FIG. 4 and transiting to the experiment explanation screen of FIG. The category continuous judgment experiment screen 78 includes a play button 780, a “very large” button 781, a “large” button 782, a “slightly large” button 783, a “neither” button 784, a “slightly small” button 785, A “small” button 786, a “very small” button 787, and a completion button 788 are displayed.

The play button 780 is a button for playing the sound source 142 that is the subject of the experiment.
The "very large" button 781, "large" button 782, "somewhat large" button 783, "neither" button 784, "somewhat small" button 785, "small" button 786, and "very small" button 787 Are buttons for sequentially inputting, in real time or alternatively, the degree to which the subject perceives the sound being reproduced. Here, the “slightly small” button 785 is clicked by the subject.
The completion button 788 is a button for completing the hearing experiment of the category continuous judgment method. As a result, the hearing experiment system transits to the experiment result screen 88 of FIG.
Note that the experiment screen according to the category continuous determination method is not limited to the embodiment shown in FIG. 14A.

FIG. 14B is a diagram showing an experiment screen by the line segment adjustment method.
The line adjustment method experiment screen 78A is a screen displayed after an experiment of the line segment adjustment method is selected on the experiment selection screen 70 in FIG. 4 and the screen is changed to the experiment explanation screen in FIG. A “long” button 781A, a “short” button 782A, a completion button 788A, and a line segment 789 are displayed on the line adjustment experiment screen 78A.

  The subject adjusts the length of the line segment 789 in real time according to the degree of feeling about the sound being reproduced. When the subject clicks the “long” button 781A, the line segment 789 becomes longer. When the subject clicks the “short” button 782A, the line segment 789 becomes shorter.

The completion button 788A is a button for completing the hearing experiment of the line segment adjustment method. As a result, the hearing experiment system transits to the experiment result screen 88 of FIG.
The experiment screen by the line segment adjustment method is not limited to the embodiment shown in FIG. 14B.

FIG. 15 is a view showing an experiment result screen by the category continuous judgment method or the line segment adjustment method.
The experiment result screen 88 displays a time series graph 881, a sound pressure level switch 882, and a category value switch 883.
In the time-series graph 881, the sound pressure level is displayed by a polygonal line, and the category values subjected to the subjective evaluation are displayed in a stepwise manner. Thereby, the experimenter or the administrator can know the correspondence between the sound pressure level, which is a physical quantity, and the category value of the subjective evaluation result.

The sound pressure level switch 882 is a switch for displaying a sound pressure level, which is a physical quantity, on a time-series graph 881.
The category value switch 883 is a switch for displaying the category value of the subjective evaluation result in the time series graph 881.
Note that what is displayed on the experiment result screen is not limited to the sound pressure level, and a loudness level or loudness may be displayed.

FIG. 16 is a diagram showing an experiment screen by the evaluation grid method.
The evaluation grid method experiment screen 79 is a screen displayed after selecting an evaluation grid method experiment on the experiment selection screen 70 in FIG. 4 and transiting to the experiment explanation screen in FIG. On the evaluation grid method experiment screen 79, an area 791, a card 792, and a “next” button 799 are displayed.
An area 791 is a screen area for arranging the card 792, in which "Like" is displayed on the left end and "Dislike" is displayed on the right end.
The card 792 corresponds to the sound source 142 to be evaluated, is arranged in one of the areas 791, and can be dragged to any position in the area 791. On the card 792, a character indicating the corresponding sound source 142 and a sound reproduction mark 793 for reproducing the corresponding sound source 142 are arranged. When the subject clicks on the sound reproduction mark 793 of the card 792, the sound source 142 corresponding to the card 792 is reproduced. The subject drags the card 792, judging which position is appropriate among the subjective evaluation results of the reproduced sound source 142 from “like” to “dislike”.
The “Next” button 799 is for completing the current experiment of this evaluation grid method and asking the next question. In the next question, the auditory sense experiment system causes the subjective evaluation of each sound source 142 using a synonym other than “like” and “dislike”. Through the subjective evaluation using these various evaluation words, an experimental result as shown in FIG. 17 can be obtained.
Note that the experimental screen by the evaluation grid method is not limited to the embodiment shown in FIG.

FIG. 17 is a view showing an experiment result screen by the evaluation grid method.
The experiment result screen 89 displays an upper concept 891, a middle concept 892, and a lower concept 893.
In the superordinate concept 891, items such as “cheap”, “dislike”, “luxury”, “like”, “closed”, and “like / dislike determination” are arranged.

  In the middle concept 892, items such as "perap", "do not close tightly", "short duration", "low tone sounds", and "abnormal as a door" are arranged. Of these, “peri-pera” and “not closed” are associated with the superordinate concept 891 “cheap” and “dislike”. “Short duration” is associated with “luxury” and “sealed” of the superordinate concept 891. The “low tone sounds” is associated with “luxury” and “like” of the superordinate concept 891. The “abnormal as a door” is associated with “cannot judge likes / dislikes” of the superordinate concept 891.

  In the lower concept 893, items such as "long decay time", "sounding sound", "short decay time", and "not closed" are arranged. Among them, the “long decay time” is associated with the “medium concept 892” “perap” and “short duration”. The “sounding sound” is associated with the medium concept 892 “perap”. “Short decay time” is associated with the middle concept 892, “low sound resounds”. “Not closed” is associated with the middle concept 892 “abnormal as a door”.

FIG. 18 is a configuration diagram of the external device 2.
The external device 2 is a measuring device that records sound and vibration on site, and is a computer including a CPU 21, a ROM 22, a RAM 23, a memory 24, an input unit 25, an interface 26, and a communication unit 27. The input unit 25 is, for example, an operation button. The microphone 5a is connected to the interface 26 of the external device 2. The memory 24 stores a measurement program (not shown), a sound source (not shown) as data, and recorded information (not shown) such as a user's (experimenter or subject) feeling during recording. The recorded information is input as text or the like via the input unit 25, uploaded to the cloud server 1 together with the sound source, and displayed on the screen in synchronization with, for example, the reproduction of the sound in the listening experiment.
Note that the recording information may be recorded as a voice via a second microphone connected to the interface 26. In this case, the recorded information is uploaded to the cloud server 1 together with the sound source, and is reproduced as another audio channel, for example, in synchronization with the reproduction of the sound in the listening experiment.

That is, the external device 2 records the feeling and the like while recording time-series data of sound and vibration at the site like a level recorder. The external device 2 further uploads the recorded sound source to the cloud server 1 through the communication unit 27. The uploaded sound source is stored as the sound source 142 in the storage unit 14 of the cloud server 1.
Note that the recording is not limited to the external device 2, and the microphones 5b and 5c may be connected to the PC 3, the tablet terminal 4, a smartphone, or the like to record the time-series data of sound and vibration. Further, the sound may be recorded by the built-in microphone 47, and there is no limitation.

FIG. 19 is a conceptual diagram showing the operation of the time-series sound evaluation method.
The graph shows the relationship between sound pressure level and time. At the bottom of the graph, recorded information of feeling is shown, and "Riding comfort" and "Here noise" are recorded together with the sound source. This allows the user (experimenter or subject) to know the identity of the sound source 142 to be evaluated.

FIG. 20A and FIG. 20B are flowcharts illustrating a process of generating a correlation coefficient table of subjective quantity-physical quantity, physical quantity-physical quantity, and subjective quantity-subjective quantity. The processing shown in FIGS. 20A and 20B is executed by checking the correlation in mode M19 in FIG.
In steps S10 to S19, the CPU 11 repeats for each item of the subjective quantity. This repetition corresponds to each item in the column direction of the correlation coefficient table 91A shown in FIG. 21A.
Next, in steps S11 to S14, the CPU 11 repeats for each item of the physical quantity. This repetition corresponds to each item on the lower side in the row direction of the correlation coefficient table 91A shown in FIG. 21A.

  The CPU 11 calculates a correlation coefficient between the subjective quantity and the physical quantity (S12), and displays a color (density) according to the correlation coefficient (S13). If there is a physical quantity item that has not been processed, the CPU 11 returns to step S11 (S14). When the CPU 11 repeats the process for each item of the physical quantity, the process proceeds to step S15.

In steps S15 to S18, the CPU 11 repeats for each item of the subjective amount. This repetition corresponds to each item on the upper side in the row direction of the correlation coefficient table 91A shown in FIG. 21A.
The CPU 11 calculates a correlation coefficient between the subjective amounts in the column direction and the row direction (S16), and displays a color (density) according to the correlation coefficient (S17). If there is an unprocessed item of the subjective amount in the row direction, the CPU 11 returns to step S15 (S18). When the CPU 11 repeats the process for each item of the subjective amount in the row direction, the process proceeds to step S19.

In step S19, if there is an unprocessed column direction subjective quantity item, the CPU 11 returns to step S10. When the CPU 11 repeats the process for each item of the subjective amount in the column direction, the process proceeds to step S20 in FIG. 20B.
In steps S20 to S25, the CPU 11 repeats for each item of the physical quantity. This repetition corresponds to each item in the column direction of the correlation coefficient table 91B shown in FIG. 21B.
Next, in steps S21 to S24, the CPU 11 repeats for each item of the physical quantity. This repetition corresponds to each item on the lower side in the row direction of the correlation coefficient table 91B shown in FIG. 21B.
The CPU 11 calculates a correlation coefficient between the physical quantity (column) and the physical quantity (row) (S22), and displays a color (density) according to the correlation coefficient (S23). If there is any physical quantity item that has not been processed, the CPU 11 returns to step S21 (S24). When the CPU 11 repeats the process for each item of the physical quantity, the process proceeds to step S25.
In step S25, if there is an unprocessed column-direction physical quantity item, the CPU 11 returns to step S20. When the CPU 11 repeats for each item of the physical quantity in the column direction, the processing in FIG. 20B ends.

FIG. 21A is a diagram showing a correlation coefficient table 91A between subjective quantity-physical quantity, physical quantity-physical quantity, and subjective quantity-subjective quantity. The correlation coefficient table 91A shown in FIG. 21A is displayed by the correlation confirmation in the mode M19 in FIG.
In the row of the correlation coefficient table 91A, each index of the subjective quantity is described on the upper side, and each index of the physical quantity is described on the lower side. In the column of the correlation coefficient table 91A, items similar to the rows are described, but only the first four items are shown here.

Subjective metrics include "strong", "quiet", "lazy", "soft", "luxury", "sharp", "clear", "unified", "profound", There is "elegant". Indices of physical quantities of the stationary sound loudness include “loudness”, “loudness level”, and “sharpness”. Indices of physical quantities of the unsteady sound loudness include “loudness”, “loudness (5%)”, “loudness (10%)”, “loudness level”, “sharpness”, “roughness”, and “fluctuation intensity”. .
Note that the indices of the subjective quantity and the physical quantity described here are merely examples, and the present invention is not limited to these.

In the upper cell of the correlation coefficient table 91A, a correlation coefficient between the subjective quantity and the subjective quantity is indicated by a numeral. Thereby, the experimenter or the administrator can easily know the correlation between the subjective quantities.
In the lower cell of the correlation coefficient table 91A, the correlation coefficient between the subjective quantity and the physical quantity is indicated by a numeral. Thereby, the experimenter or the administrator can easily know the correlation between the subjective quantity and the physical quantity.
Further, the background of the cell of the correlation coefficient table 91A is displayed in a color (density) according to the number of the correlation coefficient, but is not shown here.
FIG. 21B is a diagram illustrating a correlation coefficient table of subjective quantity-physical quantity, physical quantity-physical quantity, and subjective quantity-subjective quantity. The correlation coefficient table 91B in FIG. 21B corresponds to a column (not shown) on the right side of the correlation coefficient table 91A shown in FIG. 21A.
In each row below the correlation coefficient table 91B, a correlation coefficient between the physical quantity and the physical quantity is indicated by a numeral. Thereby, an experimenter or a manager can easily know the correlation between the physical quantities.
Further, the background of the cell of the correlation coefficient table 91B is displayed in a color (density) according to the number of the correlation coefficient, but is not shown here.

FIG. 22 is a flowchart showing a process of generating a subjective coefficient correlation coefficient table by subjects of different specifications. The process shown in FIG. 22 is executed by the correlation check in the mode M19 in FIG.
In steps S30 to S39, the CPU 11 repeats for each item of the subjectivity of the subject in his twenties. This repetition corresponds to each item in the column direction of the correlation coefficient table 92 shown in FIG.
Next, in steps S31 to S34, the CPU 11 repeats for each item of the subjectivity of the subject in his twenties. This repetition corresponds to each item on the upper side in the row direction of the correlation coefficient table 92 shown in FIG.

  The CPU 11 calculates the correlation coefficient between the subjective quantities of the subjects in their twenties (S32), and performs color classification (density) display according to the correlation coefficient (S33). If there is an unprocessed subjective quantity item, the CPU 11 returns to step S31 (S34). When the CPU 11 repeats the process for each item of the subjective amount, the process proceeds to step S35.

In steps S35 to S38, the CPU 11 repeats each item of the subjectivity of the subject in his forties. This repetition corresponds to each item on the lower side in the row direction of the correlation coefficient table 92 shown in FIG.
The CPU 11 calculates the correlation coefficient between the subjective quantity of the subject in the 20s and the subjective quantity of the subject in the 40s (S36), and performs color classification (density) display according to the correlation coefficient (S37). If there is any unprocessed item of the subjective amount in the row direction, the CPU 11 returns to step S35 (S38). If the CPU 11 repeats the process for each item of the subjectivity (row direction) of the subject in his forties, the CPU 11 proceeds to the process of step S39.

  In step S39, if there is an unprocessed column direction subjective quantity item, the CPU 11 returns to step S30. When the CPU 11 repeats the process for each item of the subjective amount in the column direction, the processing in FIG. 22 ends.

FIG. 23 is a diagram showing a correlation coefficient table of the subjective quantity by subjects of different specifications. The correlation coefficient table shown in FIG. 23 is displayed by the correlation confirmation in the mode M19 in FIG.
In the row of the correlation coefficient table 92, each index of the subjective quantity by the subject in their 20s is described on the upper side, and each index of the subjective quantity by the subject in the 40s is described on the lower side. Each index of the subjective quantity is the same item as in FIG. 21A. In the column of the correlation coefficient table 92, the same items as in the row are described.

In the upper and left cells of the correlation coefficient table 92, the correlation coefficients between the subjective quantities of the subjects in their twenties are indicated by numbers. As a result, the experimenter or the administrator can easily know the correlation between the subjective quantities of the subjects in their twenties. In a cell (not shown) on the right side of this, the correlation coefficient between the subjectivity of the subject in his forties and the subjectivity of the subject in his twenties is indicated by numbers. Thereby, the experimenter or the administrator can easily know the correlation of the subjective quantity between the subjects of different specifications.
In a lower left cell (not shown) of the correlation coefficient table 92, a correlation coefficient between the subjective quantity of the subject in the 20s and the subjective quantity of the subject in the 40s is indicated by a numeral. Thereby, the experimenter or the administrator can easily know the correlation of the subjective quantity between the subjects of different specifications.
Further, the background of the cell in the correlation coefficient table 92 is displayed in a color (density) corresponding to the number of the correlation coefficient, but is not shown here.

FIG. 24 is a diagram showing another way of showing the correlation coefficient between subjective quantities. The graph 81 shown in FIG. 24 is displayed by confirming the correlation in the mode M19 in FIG.
The graph 81 in FIG. 24 shows the correlation coefficient matrix displayed in a polygon. Thus, the correlation coefficient can be grasped more intuitively than the correlation coefficient table 92 shown in FIG. Here, an evaluation word is arranged at the vertex of a polygon (for example, a decagon), and a line having a thickness corresponding to the absolute value of the correlation coefficient between the evaluation words and a color line corresponding to the positive or negative of the correlation coefficient is displayed. I draw in between. The correlation coefficient table is drawn with a blue line when the correlation coefficient between the evaluation words is positive, and drawn with a red line when the correlation coefficient between the evaluation words is negative. Note that the correspondence between the sign of the correlation coefficient and the color of the line is merely an example, and may be drawn in colors other than blue and red.
Here, "elegant", "powerful", "quiet", "relaxed", "soft", "luxury", "sharp", "clear", "unified", "heavy" Ten evaluation words are arranged at each vertex. Furthermore, both vertices of "unified" and "heavy", both vertices of "unified" and "powerful", both "heavy" and "relaxed", and both "relaxed" and "elegant" A thick line is drawn at the vertex, indicating that the absolute value of the correlation coefficient between these subjective quantities is high. The lines connecting the vertices are all blue. This also allows the experimenter to show the correlation coefficient between items of subjective quantity. For each vertex of the polygon, the one having a positive correlation coefficient among evaluation pairs forming a pair may be described, and may be freely set by an experimenter, and is not limited.

FIG. 25 is a diagram showing another way of showing the correlation coefficient between subjective quantities for each subject. The graphs 81L and 81R shown in FIG. 25 are displayed by confirming the correlation in the mode M19 in FIG.
The graph 81L shows the correlation coefficient of the subjective quantity evaluated by the subject 1 for each evaluation word by the thickness of the line connecting the vertices. The graph 81R indicates the correlation coefficient of the subjective quantity obtained by the subject 2 evaluating each evaluation word by the thickness of the line connecting the vertices. In this way, by displaying the correlation coefficients of the subjective quantities evaluated for each evaluation word for each subject side by side, the experimenter or administrator can determine the difference in the correlation coefficient of the subjective quantities evaluated for the evaluation terms between the subjects. You can easily find out.

FIG. 26 is a diagram showing reproducibility confirmation data by the SD method.
The reproducibility check data 93 is composed of two graphs of reproducibility check data 931 and 932. The upper reproducibility confirmation data 931 shows the result of the subject 1's SD method. The lower reproducibility confirmation data 932 shows the result of the SD method for the subject 2. The vertical axis of the reproducibility check data 931 and 932 indicates the subjective amount. The horizontal axis of the reproducibility check data 931 and 932 indicates the order of experiments.
When the reproducibility confirmation data 931 and 932 do not fluctuate up and down, the subjective amount evaluated by the subject does not change for each experiment, indicating that there is reproducibility. When the reproducibility confirmation data 931 and 932 fluctuate up and down, the subjective amount evaluated by the subject changes for each experiment, which indicates that the reproducibility is poor. Thus, the experimenter or the administrator can determine the subjective evaluation result having low reproducibility. Further, the experimenter and the administrator can easily understand that the hearing experiment needs improvement.

FIG. 27 is a diagram showing the accumulation and the histogram by the SD method. The accumulation and the histogram shown in FIG. 27 are displayed in the experiment result details of the mode M20 in FIG.
Here, the accumulation and the histogram of the total number of trials for all the subjects are created for each evaluation word for which the results are coherent.
The accumulation / histogram 941 includes two graphs of accumulation / histograms 941L and 941R. The horizontal axis of the cumulative / histograms 941L and 941R indicates the section of the subjective amount. The vertical axis of the line graph of the accumulation / histograms 941L and 941R indicates the accumulation from the leftmost section to the current section, and the upper end is 100%. The vertical axis of the bar graph of the cumulative / histograms 941L and 941R indicates the frequency of the subjective quantity included in the current section.
The accumulation / histogram 941L is the accumulation of the evaluation word 1 and the histogram. The accumulation / histogram 941L is the accumulation of the evaluation word 2 and the histogram. Thus, by displaying the accumulation of different evaluation words and the histograms 941L and 941R side by side, the experimenter or the administrator can easily know the difference in the frequency distribution of the subjective evaluation result of each evaluation word.

FIG. 28 is a diagram showing an average and a deviation of evaluation words by the SD method. The average and the deviation of the evaluation words shown in FIG. 28 are displayed in the experimental result details of the mode M20 in FIG.
The average / standard deviation 942 indicates the result of the subjective evaluation of each sound source by each broken line. The horizontal axis of the graph is each evaluation word. The vertical axis of the graph is the subjective quantity related to the evaluation word. Each line type in the graph indicates the evaluation of each sound source. By overwriting the evaluation of each sound source, the experimenter and the administrator can confirm the average and the deviation of all the evaluation words.

FIG. 29 is a diagram in which the average and the deviation of the evaluation words by the SD method are normalized. A graph in which the average and the deviation of the evaluation words shown in FIG. 29 are normalized is displayed in the details of the experiment result of the mode M20 in FIG.
The average / standard deviation 943 is a graph normalized by reassigning the maximum and minimum values of the average / standard deviation 942 to the maximum (+3) and the minimum (-3) of the displayed graph. Thereby, the bias of the subjective evaluation can be canceled.

FIG. 30 is a comparison diagram of the experimental results by the SD method. The comparison of the experimental results by the SD method shown in FIG. 30 is displayed in the experimental result details of mode M20 in FIG.
In the graph of the experimental result comparison 944, the vertical axis is the evaluation word, and the horizontal axis is the subjective quantity. The white dot graph indicates the subjective evaluation of the product L before the modification. The graph with the black dots indicates the subjective evaluation of the sound after the modification for the same product L. FIG. 30 displays the subjective evaluation of the sound of the product L before the modification and the sound after the modification in a comparable manner. Thus, the experimenter or the administrator can easily grasp the change in the subjective amount due to the modification.

FIG. 31 is a diagram showing a result obtained by filtering an experimental result by the SD method with predetermined data. A graph obtained by filtering the experimental result by the SD method shown in FIG. 31 with predetermined parameters is displayed in the experimental result details of the mode M20 in FIG.
The subjective evaluation result 945 indicates a result of filtering on each item by each polygonal line. The vertical axis of the graph of the subjective evaluation result 945 is the subjective quantity, and the horizontal axis of the graph is each evaluation word. In addition, in the subjective evaluation result 945, the description of each evaluation word is omitted. Here, the predetermined specifications are, for example, the occupation type, age, gender, nationality, living area, evaluation word, sound source, etc. of the subject. Here, only subjective evaluations related to some sound sources are picked up. As a result, the experimenter and the administrator can easily grasp the difference in the subjective evaluation of each item.

  FIG. 32 is a diagram showing a histogram obtained by filtering the experimental result by the SD method with predetermined data in a line graph. The histogram shown in FIG. 32 is displayed in the experiment result details of the mode M20 in FIG.

The histogram 946 is a histogram of the evaluation result regarding the opposites of “cheap” and “expensive”. The horizontal axis of the graph of the histogram 946 indicates the subjective amount. When the value is −3, it is evaluated as the cheapest, and when it is +3, it is evaluated as the highest quality. The vertical axis of the graph indicates the frequency for each subjective evaluation.
The line indicated by the legend A indicates a histogram of the subjective evaluation of the sound source A. Similarly, the line indicated by the legend B indicates a histogram of the subjective evaluation of the sound source B. The line indicated by the legend C indicates a histogram of the subjective evaluation of the sound source C. Thus, the experimenter or the manager can easily grasp the difference in the subjective evaluation of the sound source in each evaluation word.

FIG. 33 is a diagram comparing experimental results by the SD method for each subject. The experimental results by the SD method shown in FIG. 33 are displayed in the experimental result details of mode M20 in FIG.
The subjective evaluation result 947 is composed of two graphs of the subjective evaluation results 947L and 947R. The horizontal axis of the graph of the subjective evaluation result 947 is each evaluation word, and the vertical axis of the graph is the subjective quantity. The subjective evaluation result 947L is a subjective quantity obtained by the experiment of the subject 1, and each polygonal line indicates the result of the subjective evaluation of each sound source used in the experiment. The subjective evaluation result 947R is a subjective quantity obtained by the experiment performed by the subject 2, and each polygonal line indicates the result of the subjective evaluation of each sound source used in the experiment. As described above, the subjective amount is displayed for each subject in comparison, so that the experimenter or the administrator can easily grasp the coincidence and the difference.

FIG. 34 is a diagram in which the results of the experiment by the SD method are overwritten with the evaluation of each sound source and each subject. The experimental result by the SD method shown in FIG. 34 is displayed in the experimental result details of mode M20 in FIG.
The subjective evaluation result 948 includes two graphs of the subjective evaluation results 948L and 948R. The horizontal axis of the graph of the subjective evaluation result 948 is each evaluation word, and the vertical axis of the graph is the subjective quantity. The subjective evaluation result 948L indicates the subjective amount related to the sound source 1, and the subjective evaluation result 948R indicates the subjective amount related to the sound source 2. Each polygonal line indicates the result of the subjective evaluation by each subject.
As described above, since the evaluation for each subject is overwritten for each sound source, the experimenter and the administrator can easily grasp the coincidence and the difference between each sound source and each subject.

FIG. 35 is a diagram in which the experimental results by the SD method are compared by superimposing the evaluation for each evaluation word for each subject. The experimental result by the SD method shown in FIG. 35 is displayed in the experimental result details of mode M20 in FIG.
The subjective evaluation result 949 includes two graphs of the subjective evaluation results 949L and 949R. The vertical axis of the graph of the subjective evaluation result 949 indicates the subjectivity, and the horizontal axis indicates each sound source. Each polygonal line indicates the subjective quantity related to each evaluation word. The subjective evaluation result 949L indicates the subjectivity of the subject 1, and the subjective evaluation result 949R indicates the subjectivity of the subject 2.
Since the evaluation for each evaluation word is overwritten for each subject, the experimenter and the administrator can easily grasp the coincidence and difference between each subject and each evaluation word.

FIG. 36 is a diagram in which experimental results by the SD method are overwritten for each subject for each evaluation word and compared. The experimental result by the SD method shown in FIG. 35 is displayed in the experimental result details of mode M20 in FIG.
The vertical axis of the graph of the subjective evaluation result 940 indicates the subjectivity, and a value of 3 indicates the strongest evaluation, and a value of -3 indicates the weakest evaluation. The horizontal axis of the graph indicates each sound source. Each line represents each subject. As a result, the experimenter or the administrator can easily grasp the coincidence points and the difference points between the subjective amounts of the respective sound sources of each subject. For example, in FIG. 36, subjects 1, 2, and 6 are performing a subjective evaluation of the same tendency. On the other hand, it can be seen that the subjects 3 and 5 perform the subjective evaluation of the tendency opposite to the subjects 1, 2 and 6.

FIG. 37 is a diagram obtained by performing principal component analysis on the experimental results obtained by the SD method. The principal component analysis result 82 shown in FIG. 37 is displayed by the multivariate analysis in the mode M21 in FIG.
Principal component analysis is a method of synthesizing, from a large number of correlated variables, a variable called a principal component that has a small number of uncorrelated cells and represents the overall variation best. The principal component analysis result 82 is obtained by synthesizing the principal component 1 and the principal component 2 from the subjective evaluation of each evaluation word, and expressing each evaluation word as a vector on a plane having the principal component 1 as a horizontal axis and the principal component 2 as a vertical axis. Is shown. Thus, by arranging each evaluation word and its variance in the two-dimensional space, the subjective evaluation result of each evaluation word can be visualized.

FIG. 38 is a diagram obtained by performing a cluster analysis of the experimental result by the SD method. The cluster analysis result 83 shown in FIG. 38 is displayed by the multivariate analysis in the mode M21 in FIG.
Here, cluster analysis is performed by connecting or cutting each evaluation word according to the connection level of the subjective quantity. From the cluster analysis result 83, the connection level (dissimilarity) of each evaluation word can be easily visualized.

(Modification)
The present invention is not limited to the above embodiment, and can be modified and implemented without departing from the spirit of the present invention. For example, there are the following (a) to (d).

(A) Uploading a sound source to the cloud server 1 is not limited to the external device 2. The PC 3 or the tablet terminal 4 may upload the sound source to the cloud server 1.
(B) The terminal that performs the hearing experiment and the terminal that browses the experiment result may be different and are not limited.
(C) The type of the hearing experiment is not limited to that described in the embodiment, and any subjective evaluation experiment may be performed.
(D) The sound source (door closing sound, etc.), the evaluation stage (5 stages, etc.), the evaluation words (large, strong, etc./number of 5 pairs, etc.) used in the content of the hearing experiment in the above embodiment are: These are merely examples, and may be other than these.

1 Cloud server (Hearing experiment server)
11 CPU (control means)
12 ROM
13 RAM
14 storage unit (storage means)
141 Auditory experiment tool 142 Sound source 143 Subjectivity 144 Physical quantity 145 Relationship information 146 Subject information 15 Communication unit 2 External device (an example of a terminal)
21 CPU
22 ROM
23 RAM
24 memory 25 input unit 26 interface 3 PC (example of terminal)
4 tablet terminal (example of terminal)
41 CPU
42 ROM
43 RAM
44 Memory 441 Browser program 45 Touch panel display 46 Built-in speaker 47 Built-in microphone 48 Communication unit 49 Interfaces 5a to 5c Microphones 6a to 6c Headphones 70 Experiment selection screen 700 to 706 Options 71 Experiment description screen 711 Demo playback button 712 Practice start button 713 Start of production Button 72 Adjustment method experiment screen 720 Play button 721 Reference sound slider 722 Evaluation sound slider 723 Finish button 73a Limit method experiment screen 730 Play button 731 "Large" button 732 "Equal" button 733 "Small" button 734 Complete button 73b Constant method experiment Screen 730 Play button 731 "Large" button 732 "Equals" button 733 "Small" button 734 Finish button 74 ME method experiment screen 740 Play button 741 Numerical input Box 742 Complete button 75 Rating scale experiment screen 750 Play button 751 Category selection 752 Complete button 76 Pair comparison experiment screen 760 Play button 761 “Quite” button 762 “Slightly” button 762 “None” button 764 “Slightly” button 765 “Pretty” button 766 Done button 77 SD method experiment screen 770 Play button 771-775 Radio button 776 “Next” button 81, 81L, 81R Graph 82 Principal component analysis result 83 Cluster analysis result 87 Experiment result screen 871 Subjectivity display 872 Subjectivity selection 873 "Reference: Compare data" button 874 "Reference: All data" button 78 Category continuous judgment method experiment screen 780 Play button 781 "Very large" button 782 "Large" button 783 "Slightly large" button 78 4 “Neither” button 785 “Slightly small” button 786 “Small” button 787 “Very small” button 788 Finish button 78A Line adjustment method experiment screen 781A “Long” button 782A “Short” button 788A Finish button 789 Line Minute 88 experiment result screen 881 time series graph 882 sound pressure level switch 883 category value switch 79 evaluation grid method experiment screen 791 area 792 card 793 sound reproduction mark 799 “next” button 89 experiment result screen 891 superior concept 892 middle concept 893 Subordinate concepts 91, 92 Correlation coefficient table 93 Reproducibility check data 941 Cumulative / histogram 942, 943 Average / standard deviation 944 Comparison of experimental results 945, 947, 947L, 947R, 948, 948L, 948R, 949, 949L, 949R , 940 Subjective evaluation results 946 Histogram

Claims (11)

In a server equipped with a storage unit,
The process of uploading the sound source from the terminal,
Displaying on the terminal a screen for selecting one of a plurality of hearing experiments,
Performing the selected hearing experiment on the terminal;
Storing the subjective amount obtained in the hearing experiment in the storage unit,
Displaying the subjective amount obtained in the hearing experiment on a terminal,
Hearing experiment tool to let you run. Displaying each physical quantity obtained by analyzing the sound source used in the hearing experiment on the terminal,
Calculating the physical quantity by analyzing the sound source;
Displaying a correlation coefficient between each subjective quantity obtained in the hearing experiment and each physical quantity obtained by analyzing the sound source used in the hearing experiment on a terminal,
2. The hearing experiment tool according to claim 1, further comprising: A step of displaying a correlation coefficient between physical quantities obtained by analyzing the sound source used in the hearing experiment on a terminal,
The hearing experiment tool according to claim 1 or 2, wherein the tool is further executed. For each sound source used in the hearing experiment, a plurality of subjective amounts obtained in the hearing experiment is displayed on a terminal in a comparable manner,
2. The hearing experiment tool according to claim 1, further comprising: Information of each subject of the hearing experiment is stored in the storage unit,
For each category of the subject, a subjective amount obtained in the hearing experiment is displayed on a terminal in a comparable manner,
The hearing experiment tool according to claim 1, wherein the tool is executed. For each category of the sound source, a step of displaying the subjective amount obtained in the hearing experiment on a terminal in a comparable manner,
The hearing experiment tool according to claim 1, wherein the tool is executed. Transmitting a Web page constituting a screen for selecting any one of the plurality of hearing experiments to the terminal;
Transmitting a Web page constituting a screen for executing the hearing experiment to the terminal;
Transmitting a Web page constituting a screen for displaying the subjective quantity to the terminal,
The hearing experiment tool according to any one of claims 1 to 6, for performing the following. The hearing experiment includes an adjustment method, a limit method, a constancy method, a magnitude estimation (ME) method, a rating scale method, a pair comparison method, a semantic differential (SD) method, a continuous category judgment method, an evaluation grid method, and a time-series sound evaluation. One of the laws,
The hearing experiment tool according to any one of claims 1 to 7, wherein: The listening experiment includes, after sounding the sound source on the terminal, adjusting a sound volume.
The hearing experiment tool according to any one of claims 1 to 7, wherein: The listening experiment includes a step of displaying an object including a button for sounding the sound source on the terminal so that the objects can be rearranged.
The hearing experiment tool according to any one of claims 1 to 7, wherein: Communication means for communicating with the terminal,
Storage means for receiving the subjective quantity obtained in the hearing experiment on the terminal by the communication means, and storing the received subjective quantity;
A screen for selecting any one of a plurality of hearing experiments is displayed on the terminal by the communication means, the selected hearing experiment is performed by the terminal, and the subjective amount obtained in the hearing experiment is transmitted by the communication means. An auditory sense experiment server comprising control means for displaying on a terminal.

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