CN112822593B - Adaptive noise reduction control method, adaptive noise reduction control device and earphone - Google Patents
Adaptive noise reduction control method, adaptive noise reduction control device and earphone Download PDFInfo
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- CN112822593B CN112822593B CN202110002740.9A CN202110002740A CN112822593B CN 112822593 B CN112822593 B CN 112822593B CN 202110002740 A CN202110002740 A CN 202110002740A CN 112822593 B CN112822593 B CN 112822593B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1083—Reduction of ambient noise
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2201/00—Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
- H04R2201/10—Details of earpieces, attachments therefor, earphones or monophonic headphones covered by H04R1/10 but not provided for in any of its subgroups
Abstract
The application provides a self-adaptive noise reduction control method, a self-adaptive noise reduction control device and an earphone. The method comprises the following steps: acquiring error noise signals corresponding to a plurality of adjacent time points, and controlling a filter to stop working under the condition that first characteristics of the error noise signals corresponding to the plurality of adjacent time points accord with internal noise characteristics; acquiring a reference noise signal, and determining that the error noise signal does not contain the internal noise signal under the condition that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not accord with the characteristic of the internal noise signal; and under the condition that the error noise signal does not contain the internal noise signal, controlling the filter to enter a working state so as to output an inverted noise signal according to the error noise signal obtained at the current time and the reference noise signal. The method can accurately judge the internal noise and timely make correct response.
Description
Technical Field
The application belongs to the technical field of earphones, and particularly relates to a self-adaptive noise reduction control method, a self-adaptive noise reduction control device and an earphone.
Background
Referring to fig. 1, the working principle of the conventional active noise reduction earphone is as follows: external noise enters the inside of the earphone through the main channel. The reference microphone picks up external noise to obtain a reference noise signal. And the adaptive filter filters the reference noise signal to obtain an inverse noise signal. The loudspeaker uses the anti-phase noise signal to cancel the effect of external noise inside the earphone. Since the external noise cannot be completely cancelled by the inverted noise signal, there still exists a certain residual, called error noise. The error microphone picks up the error noise to obtain an error noise signal. The adaptive filter updates the filter coefficient according to the error noise signal, so that the influence of external noise inside the earphone is better counteracted by the reverse phase noise.
However, noise is also generated inside the headset, for example, noise generated by friction between the headset and the skin when the user wears and moves the headset is not picked up by the reference microphone, and this part of noise is independent of external noise, and is called internal noise. If the error noise signal picked up by the error microphone is mistaken as a result of the external noise being cancelled by the inverse noise, the filter coefficient of the adaptive filter is updated, so that the filter coefficient of the adaptive filter deviates seriously from the optimal parameter, and even the noise heard by the user is stronger. There is a need for a method that can identify internal noise and make proper adjustments to the operating state of an adaptive filter.
Disclosure of Invention
The application aims to overcome the defects in the prior art and provides a self-adaptive noise reduction control method, a self-adaptive noise reduction control device and an earphone.
In order to solve the technical problem, the following technical scheme is adopted in the application: an adaptive noise reduction control method comprising:
acquiring error noise signals corresponding to a plurality of adjacent time points, and controlling a filter to stop working under the condition that first characteristics of the error noise signals corresponding to the plurality of adjacent time points accord with internal noise characteristics;
acquiring a reference noise signal, and determining that the error noise signal does not contain the internal noise signal under the condition that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not accord with the characteristic of the internal noise signal;
and under the condition that the error noise signal does not contain the internal noise signal, controlling the filter to enter a working state so as to output an inverted noise signal according to the error noise signal obtained at the current time and the reference noise signal.
In some embodiments, further comprising: determining that the error noise signal contains an internal noise signal when the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the characteristic of the internal noise signal;
and under the condition that the error noise signal contains the internal noise signal, controlling the filter to stop working, and returning to execute the following steps: and under the condition that the first characteristics of the error noise signals corresponding to the adjacent multiple time points accord with the internal noise characteristics, controlling the filter to stop working.
In some embodiments, further comprising: determining that the error noise signal contains an internal noise signal when the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the characteristic of the internal noise signal;
under the condition that the error noise signal is determined to contain the internal noise signal, controlling the filter to stop working, and executing the following steps: and acquiring a reference noise signal, and determining that the error noise signal contains the internal noise signal under the condition that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal accords with the characteristic of the internal noise signal.
In some embodiments, the number of time points corresponding to the data points used to determine the second characteristic of the error noise signal is greater than the number of time points corresponding to the data points used to determine the first characteristic of the error noise signal, and the first characteristic and the second characteristic are different characteristics.
In some embodiments, acquiring error noise signals corresponding to a plurality of time points, and controlling the filter to stop working if the characteristics of the error noise signals corresponding to the adjacent time points conform to the internal noise characteristics includes:
and under the condition that the absolute value of the difference of the error noise signals corresponding to two adjacent time points is greater than a first preset threshold value, judging that the characteristics of the error noise signals corresponding to the two adjacent time points accord with the internal noise characteristics.
In some embodiments, acquiring error noise signals corresponding to a plurality of adjacent time points, and controlling the filter to stop working if the characteristics of the error noise signals corresponding to the plurality of adjacent time points conform to the internal noise characteristics includes:
and under the condition that the average power of the error noise signals corresponding to the adjacent multiple time points is greater than a second preset threshold value, judging that the characteristics of the error noise signals corresponding to the adjacent multiple time points accord with the internal noise characteristics.
In some embodiments, obtaining a reference noise signal, and determining that the error noise signal does not include the internal noise signal if the comparison of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not match the characteristic of the internal noise signal includes:
the method comprises the steps of taking the number of singular values which are larger than a third preset threshold value in singular values of a matrix which is formed by taking an error noise signal from each error microphone as a column vector as a first numerical value, taking the number of singular values which are larger than the third preset threshold value in the singular values of the matrix which is formed by taking a reference noise signal from each reference microphone as a column vector as a second numerical value, and judging that a comparison result of the features of the error noise signals and the features of the reference noise signals does not accord with the features of the internal noise signals under the condition that the first numerical value is smaller than or equal to the second numerical value, wherein the number of the error microphones is larger than the number of the reference microphones.
In some embodiments, obtaining a reference noise signal, and determining that the error noise signal does not include the internal noise signal if the comparison of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not match the characteristic of the internal noise signal includes:
and under the condition that the difference between the zero crossing rate of the frequency spectrums of the error noise signals at a plurality of continuous time points and the zero crossing rate of the frequency spectrum of the reference noise signal at the corresponding time point is less than or equal to a fourth preset threshold value, judging that the comparison result of the characteristics of the error noise signals and the characteristics of the reference noise signals does not accord with the characteristics of the internal noise signals.
In order to solve the technical problem, the following technical scheme is adopted in the application: an adaptive noise reduction control apparatus comprising: the system comprises a first analysis module, a second analysis module and a control module;
the first analysis module is to: acquiring error noise signals corresponding to a plurality of adjacent time points, and sending a first control signal to the control module under the condition that first characteristics of the error noise signals corresponding to the plurality of adjacent time points accord with internal noise characteristics;
the second analysis module is to: acquiring a reference noise signal, acquiring the reference noise signal when a comparison result of a second characteristic of the error noise signal and a characteristic of the reference noise signal does not accord with an internal noise signal characteristic, and sending a second control signal to the control module when the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not accord with the internal noise signal characteristic;
the control module is used for: and when the first control signal is received, the filter is controlled to stop working, and when the second control signal is received, the filter is controlled to be in a working state, so that the inverted noise signal is output according to the error noise signal and the reference noise signal obtained at the current time.
In some embodiments, the second analysis module is further to: and a step of sending the first control signal to the control module and returning to execute the acquisition of the reference noise signal when a comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the characteristic of the internal noise signal, and sending the second control signal to the control module when the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not conform to the characteristic of the internal noise signal.
In some embodiments, the second analysis module is further to: and sending the first control signal to the control module under the condition that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the characteristic of the internal noise signal, triggering the first analysis module to execute the step of acquiring the error noise signals corresponding to the adjacent multiple time points, and sending the first control signal to the control module under the condition that the characteristics of the error noise signals corresponding to the adjacent multiple time points conform to the characteristic of the internal noise.
In some embodiments, the number of time points corresponding to the data points used to determine the second characteristic of the error noise signal is greater than the number of time points corresponding to the data points used to determine the first characteristic of the error noise signal, and the first characteristic and the second characteristic are different characteristics.
In some embodiments, the first analysis module is specifically configured to: and under the condition that the absolute value of the difference of the error noise signals corresponding to two adjacent time points is greater than a first preset threshold value, judging that the characteristics of the error noise signals corresponding to the two adjacent time points accord with the internal noise characteristics.
In some embodiments, the first analysis module is specifically configured to: and under the condition that the average power of the error noise signals corresponding to the adjacent multiple time points is greater than a second preset threshold value, judging that the characteristics of the error noise signals corresponding to the adjacent multiple time points accord with the internal noise characteristics.
In some embodiments, the second analysis module is specifically configured to: the method comprises the steps of taking the number of singular values which are larger than a third preset threshold value in singular values of a matrix which is formed by taking an error noise signal from each error microphone as a column vector as a first numerical value, taking the number of singular values which are larger than the third preset threshold value in the singular values of the matrix which is formed by taking a reference noise signal from each reference microphone as a column vector as a second numerical value, and judging that a comparison result of the features of the error noise signals and the features of the reference noise signals does not accord with the features of the internal noise signals under the condition that the first numerical value is smaller than or equal to the second numerical value, wherein the number of the error microphones is larger than the number of the reference microphones.
In some embodiments, the second analysis module is specifically configured to: the method comprises the steps of taking the number of singular values which are larger than a third preset threshold value in singular values of a matrix which is formed by taking an error noise signal from each error microphone as a column vector as a first numerical value, taking the number of singular values which are larger than the third preset threshold value in the singular values of the matrix which is formed by taking a reference noise signal from each reference microphone as a column vector as a second numerical value, and judging that a comparison result of the features of the error noise signals and the features of the reference noise signals accords with internal noise signal features under the condition that the first numerical value is larger than the second numerical value, wherein the number of the error microphones is larger than the number of the reference microphones.
In some embodiments, the second analysis module is specifically configured to: and under the condition that the difference between the zero crossing rate of the frequency spectrums of the error noise signals at a plurality of continuous time points and the zero crossing rate of the frequency spectrum of the reference noise signal at the corresponding time point is less than or equal to a fourth preset threshold value, judging that the comparison result of the characteristics of the error noise signals and the characteristics of the reference noise signals does not accord with the characteristics of the internal noise signals.
In some embodiments, the second analysis module is specifically configured to: and under the condition that the difference between the zero crossing rate of the frequency spectrums of the error noise signals at a plurality of continuous time points and the zero crossing rate of the frequency spectrum of the reference noise signal at the corresponding time point is greater than a fourth preset threshold value, judging that the comparison result of the characteristics of the error noise signals and the characteristics of the reference noise signals accords with the characteristics of the internal noise signals.
Embodiments of the present application provide: an adaptive noise reduction control apparatus includes a memory storing instructions and a processor executing the instructions to perform the foregoing method.
Embodiments of the present application provide: an earphone, comprising: a reference microphone, an error microphone, an adaptive filter, a loudspeaker and the adaptive noise reduction control device.
Compared with the prior art, the beneficial effects of at least one embodiment of the application are as follows: firstly, the characteristics of the error noise signal are analyzed, namely whether internal noise occurs in the earphone or not is preliminarily judged. If the error noise signal is preliminarily judged to contain the internal noise signal component, the filter coefficient updating is immediately stopped. Thereby avoiding erroneous updates of the filter coefficients. And comparing the characteristics of the error noise signal and the reference noise signal, and recovering the normal updating of the filter coefficient after determining that the internal noise signal disappears by adopting a stricter judgment standard. On one hand, the calculation amount is small in the process of primary judgment, data points are few, the reaction is fast, on the other hand, the comparison is more accurate in a stricter analysis process, and the obtained result is more accurate. According to the above method, the processing of the internal noise is fast and accurate.
Drawings
Fig. 1 is a schematic structural diagram of a conventional active noise reduction headphone.
Fig. 2a to fig. 2c are respectively flowcharts of an adaptive noise reduction control method provided by an embodiment of the present application.
Fig. 3a and fig. 3b are schematic diagrams illustrating the structure and the operation principle of an adaptive noise reduction control device and an earphone formed by the adaptive noise reduction control device according to an embodiment of the present application.
Fig. 4 is a block diagram of an adaptive noise reduction control apparatus according to another embodiment of the present application.
Detailed Description
In this application, it will be understood that terms such as "including" or "having," or the like, are intended to indicate the presence of the disclosed features, integers, steps, acts, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, acts, components, parts, or combinations thereof.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
The application is further described with reference to examples of embodiments shown in the drawings.
As shown in fig. 2a, the embodiment of the present application provides an adaptive noise reduction control method for at least partially eliminating the adverse effect of the internal noise on the filter coefficient update. The adaptive noise reduction control method includes the following steps.
And 102, under the condition that the error noise signal does not contain the internal noise signal, controlling the filter to enter a working state so as to output an inverted noise signal according to the error noise signal obtained at the current time and the reference noise signal.
Firstly, the characteristics of the error noise signal are analyzed, namely whether internal noise occurs in the earphone or not is preliminarily judged. If the error noise signal is preliminarily judged to contain the internal noise signal component, the filter coefficient updating is immediately stopped. Thereby avoiding erroneous updates of the filter coefficients. And comparing the characteristics of the error noise signal and the reference noise signal, and recovering the normal updating of the filter coefficient after determining that the internal noise signal disappears by adopting a stricter judgment standard. On one hand, the calculation amount is small in the process of primary judgment, data points are few, the reaction is fast, on the other hand, the comparison is more accurate in a stricter analysis process, and the obtained result is more accurate. According to the above method, the processing of the internal noise is fast and accurate.
The embodiment shown in fig. 2b is a further illustration of the embodiment shown in fig. 2 a. The adaptive noise reduction control method shown in fig. 2b includes two steps of determining: step 1000 and step 1001.
And step 1000, judging whether the first characteristics of the error noise signals corresponding to the adjacent multiple time points accord with the internal noise characteristics.
If the determination result in step 1000 is yes, the filter is turned off, and the process goes to step 1001.
If the determination result in step 1001 is no, the filter is turned on, and the process goes to step 1000 again.
The above process is based on the same inventive concept as the embodiment shown in fig. 2a, and can be referred to the embodiment shown in fig. 2 a.
It is easily understood that if the duration of the internal noise is relatively short, the state in which the filter stops operating is also relatively short.
Further, if the determination result in step 1001 is yes, the filter is continuously turned off, and the process goes to step 1001.
In this embodiment, if the internal noise lasts for a relatively long time, the control method is performed alternately in step 1000 and step 1001, and the filter is always in the off state.
Further, if the judgment result of the step 1000 is negative, the filter is opened, and the process returns to the step 1000.
It should be noted that the time point corresponding to the sampling point of the error noise signal used in step 1000 may be after the start instant of step 1000, or before the start instant of step 1000, or a part of the time point may be before the start instant of step 1000 and a part of the time point may be after the start instant of step 1000. The same is true for the time points corresponding to the sampling points of the error noise signal and the time points corresponding to the sampling points of the reference noise signal adopted in step 1001. Of course, the time points corresponding to the sampling points of the error noise signal and the time points corresponding to the sampling points of the reference noise signal adopted in step 1001 are preferably the same time points.
If step 1000 is repeatedly executed, the time points of the error noise signals corresponding to the two previous and next executions of step 1000 may or may not overlap.
If step 1001 is repeatedly executed, there may be an overlap between the time points of the error noise signals corresponding to the two previous executions of step 1001, and there may be no overlap.
The embodiment shown in fig. 2c differs from the embodiment shown in fig. 2b in that if the determination result in the determination step 1001 is yes, the filter is turned off, and the process goes to the determination step 1001 again.
If the internal noise lasts longer, the method will repeat step 1001 and the filter will stay off.
In this embodiment, after the filter is turned off, more stringent control is exercised as to whether the filter is turned on.
In some embodiments, the number of time points corresponding to the data points used to determine the second characteristic of the error noise signal is greater than the number of time points corresponding to the data points used to determine the first characteristic of the error noise signal, and the first characteristic and the second characteristic are different characteristics.
That is, more data points are used for more detailed feature comparison to determine whether the internal noise is really over.
Two specific determination methods of step 1000 are described below.
The mode 1 is as follows: and under the condition that the absolute value of the difference of the error noise signals corresponding to two adjacent time points is greater than a first preset threshold value, judging that the first characteristics of the error noise signals corresponding to the two adjacent time points accord with the internal noise characteristics.
This is because, in the stage of normal operation of the filter, the error noise signal is weak, the absolute value of each sampling point of the error noise signal lamp is small, and the absolute value of the difference between two adjacent sampling points is also small. Therefore, a first preset threshold can be set according to experience, and if the absolute value of the difference between two adjacent sampling points is greater than the first preset threshold, the component of the internal noise in the error noise signal can be judged. On the contrary, if the absolute value of the difference between two adjacent sampling points is smaller than the first preset threshold, it can be determined that the error noise signal does not have the internal noise component. The skilled person can flexibly set how to handle the case that the absolute value of the difference between two adjacent sampling points is equal to the first preset threshold.
The mode 2 is as follows: and under the condition that the average power of the error noise signals corresponding to a plurality of adjacent time points is greater than a second preset threshold value, judging that the first characteristics of the error noise signals corresponding to the plurality of adjacent time points accord with the internal noise characteristics.
I.e. the average power of the error noise signal can be detected, which should be small if no internal noise is present in the headset. The second preset threshold may be set empirically, and when the average power of a plurality of adjacent sampling points of the error noise signal is greater than the second preset threshold, it may be determined that an internal noise component occurs in the error noise signal. On the contrary, when the average power of a plurality of adjacent sampling points of the error noise signal is smaller than the second preset threshold, it can be determined that there is no internal noise component in the error noise signal. The average power of a plurality of adjacent sampling points of the error noise signal is smaller than the second preset threshold, and the average power can be flexibly set by a person skilled in the art.
Two implementations of the characteristic comparison of the error noise signal with the reference noise signal are described below.
The mode 1 is as follows: the method comprises the steps of taking the number of singular values which are larger than a third preset threshold value in singular values of a matrix which is formed by taking an error noise signal from each error microphone as a column vector as a first numerical value, taking the number of singular values which are larger than the third preset threshold value in the singular values of the matrix which is formed by taking a reference noise signal from each reference microphone as a column vector as a second numerical value, and judging that a comparison result of a second feature of the error noise signal and a feature of the reference noise signal does not accord with an internal noise signal feature under the condition that the first numerical value is smaller than or equal to the second numerical value, wherein the number of the error microphones is larger than the number of the reference microphones.
For example, in step 1001, two paths of error microphone signals are acquired by 2 error microphones to obtain a matrix formed by two column vectors, and one path of reference noise signal is acquired by 1 reference microphone to obtain a matrix formed by one column vector.
Each non-0 entry in the singular value matrix corresponding to the matrix obtained in the above manner represents the strength of one signal source. Obviously, if there are more large terms (i.e., terms greater than the third preset threshold) in the singular values of the matrix formed by the error noise signal, this means that more strong signal sources are separated from the error noise signal, and then it is possible to estimate the component of the current error noise signal in which the internal noise occurs. If the number of terms with larger values in the singular values of the matrix formed from the error noise signal is equal to or less than the number of terms with larger values in the singular values of the matrix formed from the reference noise signal, it means that more strong signal sources are not analyzed from the error noise signal, and the component without the internal noise in the current error noise signal can be estimated.
The mode 2 is as follows: and under the condition that the difference between the zero crossing rate of the frequency spectrums of the error noise signals at a plurality of continuous time points and the zero crossing rate of the frequency spectrum of the reference noise signal at the corresponding time point is less than or equal to a fourth preset threshold value, judging that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not accord with the internal noise signal characteristic.
The more zero crossing rates of the spectrum of a signal, the more complex the components representing the signal. If the zero-crossing rate of the frequency spectrum of the error noise signal is much greater than the zero-crossing rate of the frequency spectrum of the reference noise signal (for example, greater than the fourth preset threshold), it indicates that the components of the error noise signal are more complex than the reference noise signal, and thus it is possible to estimate the components of the current error noise signal that include the internal noise. Conversely, if the zero-crossing rate of the spectrum of the error noise signal is less than or not much greater than the zero-crossing rate of the spectrum of the reference noise signal (e.g., less than a fourth predetermined threshold), the component representing the error noise signal is not more complex than the reference noise signal, so that the component of the current error noise signal without the internal noise can be estimated.
Based on the same inventive concept, referring to fig. 3a and 3b, an embodiment of the present application provides an adaptive noise reduction control apparatus, including a first analysis module 2, a second analysis module 3, and a control module 1. The first analysis module 2 is used for analyzing the residual noise signal and judging whether the residual noise signal contains internal noise components, and the second analysis module 3 is used for comparing the residual noise signal with a reference noise signal so as to judge whether the residual noise signal contains internal noise more accurately. The working principle of the modules corresponds to the method embodiments described above, and reference can be made to each other.
In some embodiments, the adaptive noise reduction control apparatus includes: the system comprises a first analysis module 2, a second analysis module and a control module 1;
the first analysis module 2 is configured to: acquiring error noise signals corresponding to a plurality of adjacent time points, and sending a first control signal to the control module 1 under the condition that first characteristics of the error noise signals corresponding to the plurality of adjacent time points conform to internal noise characteristics;
the second analysis module 3 is configured to: acquiring a reference noise signal, acquiring the reference noise signal when a comparison result of a second characteristic of the error noise signal and a characteristic of the reference noise signal does not accord with an internal noise signal characteristic, and sending a second control signal to the control module 1 when the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not accord with the internal noise signal characteristic;
the control module 1 is configured to: and when the first control signal is received, the filter is controlled to stop working, and when the second control signal is received, the filter is controlled to be in a working state so as to obtain an error noise signal and a reference noise signal according to the current time and output an inverted noise signal.
In some embodiments, the second analysis module 3 is further configured to: and a step of transmitting the first control signal to the control module 1 and returning to execute the acquisition of the reference noise signal when a comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the characteristic of the internal noise signal, acquiring the reference noise signal when the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not conform to the characteristic of the internal noise signal, and transmitting the second control signal to the control module 1 when the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not conform to the characteristic of the internal noise signal.
In some embodiments, the second analysis module 3 is further configured to: and under the condition that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the characteristic of the internal noise signal, sending the first control signal to the control module 1, triggering the first analysis module 2 to execute the steps of acquiring the error noise signals corresponding to the adjacent multiple time points, and under the condition that the characteristics of the error noise signals corresponding to the adjacent multiple time points conform to the characteristic of the internal noise, sending the first control signal to the control module 1.
In some embodiments, the number of time points corresponding to the data points used to determine the second characteristic of the error noise signal is greater than the number of time points corresponding to the data points used to determine the first characteristic of the error noise signal, and the first characteristic and the second characteristic are different characteristics.
In some embodiments, the first analysis module 2 is specifically configured to: and under the condition that the absolute value of the difference of the error noise signals corresponding to two adjacent time points is greater than a first preset threshold value, judging that the first characteristics of the error noise signals corresponding to the two adjacent time points accord with the internal noise characteristics.
In some embodiments, the first analysis module 2 is specifically configured to: and under the condition that the average power of the error noise signals corresponding to a plurality of adjacent time points is greater than a second preset threshold value, judging that the first characteristics of the error noise signals corresponding to the plurality of adjacent time points accord with the internal noise characteristics.
In such an embodiment, the first analysis module 2 may comprise a power follower.
In some embodiments, the second analysis module 3 is specifically configured to: the method comprises the steps of taking the number of singular values which are larger than a third preset threshold value in singular values of a matrix which is formed by taking an error noise signal from each error microphone as a column vector as a first numerical value, taking the number of singular values which are larger than the third preset threshold value in the singular values of the matrix which is formed by taking a reference noise signal from each reference microphone as a column vector as a second numerical value, and judging that a comparison result of a second feature of the error noise signal and a feature of the reference noise signal does not accord with an internal noise signal feature under the condition that the first numerical value is smaller than or equal to the second numerical value, wherein the number of the error microphones is larger than the number of the reference microphones.
For example, referring to fig. 3a, during the time when the filter is filtering normally, only the error microphone 6 is active and the error microphone 6a is not active. Alternatively, during the time period when the filter is filtering normally, the error microphones 6 and 6a are always operated, but the second analysis module 3 does not perform data processing.
Correspondingly, the second analysis module is further specifically configured to: the number of singular values which are larger than a third preset threshold value in the singular values of a matrix which is formed by taking the error noise signal from each error microphone as a column vector is taken as a first numerical value, the number of singular values which are larger than the third preset threshold value in the singular values of the matrix which is formed by taking the reference noise signal from each reference microphone as a column vector is taken as a second numerical value, and in the case that the first numerical value is larger than the second numerical value, the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal is judged to be in accordance with the internal noise signal characteristic, wherein the number of the error microphones is larger than the number of the reference microphones.
In some embodiments, the second analysis module 3 is specifically configured to: and under the condition that the difference between the zero crossing rate of the frequency spectrums of the error noise signals at a plurality of continuous time points and the zero crossing rate of the frequency spectrum of the reference noise signal at the corresponding time point is less than or equal to a fourth preset threshold value, judging that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not accord with the internal noise signal characteristic.
Correspondingly, the second analysis module 3 is further specifically configured to: and under the condition that the difference between the zero crossing rate of the frequency spectrums of the error noise signals at a plurality of continuous time points and the zero crossing rate of the frequency spectrum of the reference noise signal at the corresponding time point is greater than a fourth preset threshold value, judging that the comparison result of the characteristics of the error noise signals and the characteristics of the reference noise signals accords with the characteristics of the internal noise signals.
Referring to fig. 4, an embodiment of the present application further provides an adaptive noise reduction control apparatus, including a memory 10000 and a processor 20000, where the memory 10000 stores instructions, and the processor 20000 executes the instructions to execute the adaptive noise reduction control method according to the foregoing description.
That is, the above adaptive noise reduction control method may be implemented by a processor running a program.
With reference to fig. 3a and 3b, embodiments of the present application also provide a headset comprising: a reference microphone 5, an error microphone 6, an adaptive filter 4, a loudspeaker 7, and the aforementioned adaptive noise reduction control means.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments.
The protective scope of the present application is not limited to the above-described embodiments, and it is apparent that various modifications and variations can be made to the present application by those skilled in the art without departing from the scope and spirit of the present application. It is intended that the present application also include such modifications and variations as come within the scope of the appended claims and their equivalents.
Claims (18)
1. An adaptive noise reduction control method, comprising:
acquiring error noise signals corresponding to a plurality of adjacent time points, and controlling a filter to stop working under the condition that first characteristics of the error noise signals corresponding to the plurality of adjacent time points accord with internal noise characteristics;
acquiring a reference noise signal, and determining that the error noise signal does not contain the internal noise signal under the condition that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not accord with the characteristic of the internal noise signal;
and under the condition that the error noise signal does not contain the internal noise signal, controlling the filter to enter a working state so as to output an inverted noise signal according to the error noise signal obtained at the current time and the reference noise signal.
2. The method of claim 1, further comprising:
determining that the error noise signal contains an internal noise signal when the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the characteristic of the internal noise signal;
and under the condition that the error noise signal contains the internal noise signal, controlling the filter to stop working, and returning to execute the following steps: and under the condition that the first characteristics of the error noise signals corresponding to the adjacent multiple time points accord with the internal noise characteristics, controlling the filter to stop working.
3. The method of claim 1, further comprising:
determining that the error noise signal contains an internal noise signal when the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the characteristic of the internal noise signal;
and under the condition that the error noise signal contains the internal noise signal, controlling the filter to stop working, and executing the following steps: and acquiring a reference noise signal, and determining that the error noise signal contains the internal noise signal under the condition that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the characteristic of the internal noise signal.
4. The method of claim 1, wherein a number of time points corresponding to a data point used to determine the second characteristic of the error noise signal is greater than a number of time points corresponding to a data point used to determine the first characteristic of the error noise signal, and wherein the first characteristic and the second characteristic are different characteristics.
5. The method according to claim 1, wherein obtaining the error noise signals corresponding to a plurality of adjacent time points, and controlling the filter to stop working if the characteristics of the error noise signals corresponding to the plurality of adjacent time points conform to the internal noise characteristics comprises:
and under the condition that the absolute value of the difference of the error noise signals corresponding to two adjacent time points is greater than a first preset threshold value, judging that the first characteristics of the error noise signals corresponding to the two adjacent time points accord with the internal noise characteristics.
6. The method of claim 1, wherein obtaining the error noise signals corresponding to a plurality of adjacent time points, and controlling the filter to stop working if the characteristics of the error noise signals corresponding to the plurality of adjacent time points conform to the internal noise characteristics comprises:
and under the condition that the average power of the error noise signals corresponding to a plurality of adjacent time points is greater than a second preset threshold value, judging that the first characteristics of the error noise signals corresponding to the plurality of adjacent time points accord with the internal noise characteristics.
7. The method of claim 1, wherein obtaining a reference noise signal, and determining that the error noise signal does not include the internal noise signal if the comparison of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not match the characteristic of the internal noise signal comprises:
the method comprises the steps of taking the number of singular values which are larger than a third preset threshold value in singular values of a matrix which is formed by taking an error noise signal from each error microphone as a column vector as a first numerical value, taking the number of singular values which are larger than the third preset threshold value in the singular values of the matrix which is formed by taking a reference noise signal from each reference microphone as a column vector as a second numerical value, and judging that a comparison result of a second feature of the error noise signal and a feature of the reference noise signal does not accord with an internal noise signal feature under the condition that the first numerical value is smaller than or equal to the second numerical value, wherein the number of the error microphones is larger than the number of the reference microphones.
8. The method of claim 1, wherein obtaining a reference noise signal, and determining that the error noise signal does not include the internal noise signal if the comparison of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not match the characteristic of the internal noise signal comprises:
and under the condition that the difference between the zero crossing rate of the frequency spectrums of the error noise signals at a plurality of continuous time points and the zero crossing rate of the frequency spectrum of the reference noise signal at the corresponding time point is less than or equal to a fourth preset threshold value, judging that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not accord with the internal noise signal characteristic.
9. An adaptive noise reduction control apparatus, comprising: the device comprises a first analysis module, a second analysis module and a control module;
the first analysis module is to: acquiring error noise signals corresponding to a plurality of adjacent time points, and sending a first control signal to the control module under the condition that first characteristics of the error noise signals corresponding to the plurality of adjacent time points conform to internal noise characteristics;
the second analysis module is to: acquiring a reference noise signal, and sending a second control signal to the control module under the condition that a comparison result of a second characteristic of the error noise signal and a characteristic of the reference noise signal does not accord with the characteristic of the internal noise signal;
the control module is used for: and controlling the filter to stop working when the first control signal is received, and controlling the filter to be in a working state when the second control signal is received so as to output an inverted noise signal according to the error noise signal and the reference noise signal obtained at the current time.
10. The apparatus of claim 9,
the second analysis module is further to: in the case that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the internal noise signal characteristic, sending the first control signal to the control module, and triggering the first analysis module to execute: and controlling the filter to stop working under the condition that the first characteristics of the error noise signals corresponding to the adjacent time points accord with the internal noise characteristics.
11. The apparatus of claim 9,
the second analysis module is further to: and in the case that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal conforms to the internal noise signal characteristic, sending the first control signal to the control module, and triggering the second analysis module to execute: and acquiring a reference noise signal, and determining that the error noise signal contains the internal noise signal under the condition that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal accords with the characteristic of the internal noise signal.
12. The apparatus of claim 9, wherein a number of time points corresponding to a data point used to determine the second characteristic of the error noise signal is greater than a number of time points corresponding to a data point used to determine the first characteristic of the error noise signal, and wherein the first characteristic and the second characteristic are different characteristics.
13. The apparatus of claim 9, wherein the first analysis module is specifically configured to: and under the condition that the absolute value of the difference of the error noise signals corresponding to two adjacent time points is greater than a first preset threshold value, judging that the first characteristics of the error noise signals corresponding to the two adjacent time points accord with the internal noise characteristics.
14. The apparatus of claim 9, wherein the first analysis module is specifically configured to: and under the condition that the average power of the error noise signals corresponding to the adjacent multiple time points is greater than a second preset threshold value, judging that the first characteristics of the error noise signals corresponding to the adjacent multiple time points accord with the internal noise characteristics.
15. The apparatus of claim 9,
the second analysis module is specifically configured to: the number of singular values which are larger than a third preset threshold value in the singular values of a matrix which is formed by taking an error noise signal from each error microphone as a column vector is taken as a first numerical value, the number of singular values which are larger than the third preset threshold value in the singular values of the matrix which is formed by taking a reference noise signal from each reference microphone as a column vector is taken as a second numerical value, and in the case that the first numerical value is smaller than or equal to the second numerical value, the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal is judged not to be in accordance with the internal noise signal characteristic, wherein the number of the error microphones is larger than the number of the reference microphones.
16. The apparatus of claim 9, wherein the second analysis module is specifically configured to: and under the condition that the difference between the zero crossing rate of the frequency spectrums of the error noise signals at a plurality of continuous time points and the zero crossing rate of the frequency spectrum of the reference noise signal at the corresponding time point is less than or equal to a fourth preset threshold value, judging that the comparison result of the second characteristic of the error noise signal and the characteristic of the reference noise signal does not accord with the internal noise signal characteristic.
17. An adaptive noise reduction control apparatus comprising a memory and a processor, the memory storing instructions that the processor executes to perform the method of any one of claims 1 to 8.
18. An earphone, comprising: a reference microphone, an error microphone, a filter, a loudspeaker, and an adaptive noise reduction control apparatus according to any one of claims 9-17.
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