CN116647783A - Earphone noise reduction method and device, wearable equipment and computer readable storage medium - Google Patents
Earphone noise reduction method and device, wearable equipment and computer readable storage medium Download PDFInfo
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Abstract
The embodiment of the application provides a method and a device for noise reduction of an earphone, wearable equipment and a computer readable storage medium, belonging to the technical field of noise reduction, wherein the method comprises the following steps: detecting environmental noise; when the environmental noise is smaller than or equal to a first preset noise threshold value, acquiring the parameters of the auditory canal of the user; matching noise reduction filter parameters according to the auditory canal parameters; and carrying out noise reduction treatment in the auditory canal according to the noise reduction filter parameters. Under the environment that environmental noise is less than first default noise threshold value, can start the in-the-canal self-adaptation detection function, automatically detect user's ear canal parameter to automatically match the noise reduction filter parameter, improve the noise reduction effect, make the user experience more suitable noise reduction effect.
Description
Technical Field
The present application relates to the field of noise reduction technologies, and in particular, to a method and apparatus for noise reduction of an earphone, a wearable device, and a computer readable storage medium.
Background
The existing noise reduction earphone can automatically detect the activity state and activity place of a user, such as an office, a gymnasium or a coffee shop, and automatically switch preset environmental sound and noise reduction schemes by starting the self-adaptive sound control function, in the existing scheme, environmental noise is less than 70dB SPL and is defined as an office environment, a preset active noise reduction (Active Noise Cancellation, ANC) filter parameter is used, the optimal noise reduction filter parameter is not subdivided and matched, and the noise reduction effect is poor.
Disclosure of Invention
In order to solve the technical problems, the embodiment of the application provides a method and a device for noise reduction of a headset, a wearable device and a computer readable storage medium.
In a first aspect, an embodiment of the present application provides a method for noise reduction of an earphone, where the method includes:
detecting environmental noise;
when the environmental noise is smaller than or equal to a first preset noise threshold value, acquiring the parameters of the auditory canal of the user;
matching noise reduction filter parameters according to the auditory canal parameters;
and carrying out noise reduction treatment in the auditory canal according to the noise reduction filter parameters.
In one embodiment, the ear canal parameters include: the passive noise reduction curve of the auditory canal, the noise reduction filter parameters include: target feedforward filter parameters;
the matching noise reduction filter parameters according to the auditory canal parameters comprises the following steps:
and generating target feedforward filter parameters according to the passive noise reduction curve of the auditory canal and the deepest noise reduction effect value.
In an embodiment, the generating the target feedforward filter parameter according to the ear canal passive noise reduction curve and the deepest noise reduction effect value includes:
adjusting feedforward filter parameters according to the passive noise reduction curve of the auditory canal and the deepest noise reduction effect value so as to perform noise reduction treatment;
detecting a current residual noise value in an ear canal of a user;
judging whether the difference value between the current residual noise value and the target model residual noise value is smaller than or equal to a second preset noise threshold value or not;
if the difference value is smaller than or equal to the second preset noise threshold value, determining the current feedforward filter parameter as a target feedforward filter parameter;
and if the difference value is larger than the second preset noise threshold value, adjusting the feedforward filter parameter of the earphone until the difference value between the residual noise value in the ear canal of the user and the residual noise value of the target model is smaller than the second preset noise threshold value, and determining the current feedforward filter parameter as the target feedforward filter parameter.
In an embodiment, the obtaining the target model residual noise value includes:
acquiring a noise reduction objective curve;
and determining the residual noise value of the target model according to the maximum noise reduction depth of the noise reduction objective curve.
In one embodiment, the feedforward filter parameters include frequency bins and gain values; the adjusting the feedforward filter parameter according to the ear canal passive noise reduction curve and the deepest noise reduction effect value comprises:
and adjusting the frequency point and the gain value according to the passive noise reduction curve and the deepest noise reduction effect value of the auditory canal.
In one embodiment, when the environmental noise is greater than the first preset noise threshold, determining a target environment in which the user is located according to the environmental noise;
acquiring target active noise reduction parameters matched with the target environment;
and carrying out noise reduction processing according to the target active noise reduction parameters.
In an embodiment, the acquiring the target active noise reduction parameter matched with the target environment includes:
acquiring a target noise frequency band corresponding to the target environment;
determining the maximum value of the noise reduction depth of the target noise frequency band;
and determining the target active noise reduction parameters according to the maximum noise reduction depth.
In a second aspect, an embodiment of the present application provides an earphone noise reduction device, including:
the detection module is used for detecting environmental noise;
the acquisition module is used for acquiring the parameters of the auditory canal of the user when the environmental noise is smaller than or equal to a first preset noise threshold value;
the matching module is used for matching noise reduction filter parameters according to the auditory canal parameters;
and the noise reduction module is used for carrying out noise reduction processing in the auditory canal according to the noise reduction filter parameters.
In a third aspect, an embodiment of the present application provides a wearable device, including a memory and a processor, where the memory is configured to store a computer program, and the computer program executes the earphone noise reduction method provided in the first aspect when the processor runs.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium storing a computer program which, when run on a processor, performs the earphone noise reduction method provided in the first aspect.
The earphone noise reduction method, the earphone noise reduction device, the wearable equipment and the computer readable storage medium provided by the application detect environmental noise when detecting that a user wears the earphone; when the environmental noise is smaller than or equal to a first preset noise threshold value, acquiring the parameters of the auditory canal of the user; generating target feedforward filter parameters according to the auditory canal passive noise reduction curve and the deepest noise reduction effect value; and carrying out noise reduction processing in the auditory canal according to the target feedforward filter parameters. Under the environment that the environmental noise is smaller than a first preset noise threshold value, the self-adaptive detection function in the auditory canal can be started, the auditory canal passive noise reduction curve of the user is automatically detected, the parameters of the target feedforward filter are automatically matched, the noise reduction effect is improved, and the user can experience more proper noise reduction effect.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are required for the embodiments will be briefly described, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope of the present application. Like elements are numbered alike in the various figures.
Fig. 1 is a schematic flow chart of a method for noise reduction of an earphone according to an embodiment of the present application;
fig. 2 is another schematic flow chart of a method for noise reduction of an earphone according to an embodiment of the present application;
fig. 3 is another schematic flow chart of a method for noise reduction of an earphone according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an earphone noise reduction device according to an embodiment of the present application.
Icon: 400-earphone noise reduction device; 401-a detection module; 402-an acquisition module; 403-a matching module; 404-noise reduction module.
Detailed Description
The following description of the embodiments of the present application will be made more apparent and fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the application are shown.
The components of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
The terms "comprises," "comprising," "including," or any other variation thereof, are intended to cover a specific feature, number, step, operation, element, component, or combination of the foregoing, which may be used in various embodiments of the present application, and are not intended to first exclude the presence of or increase the likelihood of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the application belong. The terms (such as those defined in commonly used dictionaries) will be interpreted as having a meaning that is the same as the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in connection with the various embodiments of the application.
The application provides a noise reduction method for an earphone.
Referring to fig. 1, the earphone noise reduction method includes:
step S101, detecting environmental noise.
For example, when the user wears the headset device on his ear, the headset device automatically detects that the user has worn the headset. At this time, the earphone device automatically starts the first detection link, i.e., starts the environment detection function, which detects the environmental noise through a single feedforward microphone (FF MIC) on the earphone device, and determines whether the detected environmental noise is less than 70dBSPL, so as to enter the next detection mode.
It should be noted that, according to the capability of the earphone MIC, the threshold of the environmental noise may be limited to other values, for example, 60/50db, and may be adjusted according to the actual power consumption, which is not limited herein.
Step S102, when the environmental noise is smaller than or equal to a first preset noise threshold, acquiring the parameters of the auditory canal of the user.
In the prior art, the environment noise is generally less than 70dBSPL and basically determined as the office environment, and there is no more accurate noise reduction scheme, in this embodiment, in order to provide a more suitable noise reduction scheme, the first preset noise threshold may be set to 70dBSPL, or may be set to other noise values, which is not limited herein. Each user may correspond to an ear canal parameter, which may be subsequently adjusted for noise reduction by the user's individual based on the user's personalized ear canal parameter, e.g., the user's ear canal parameter may be an ear canal passive noise reduction curve.
For example, when the environmental noise detected by the FF MIC of the headphone device is less than a first predetermined noise threshold (e.g., 70 dBSPL), the in-ear-canal adaptive detection function is activated. Because the auditory meatus of each person has different, the auditory meatus is reflected on the noise reduction earphone, that is, the auditory meatus parameters are different, for example, the auditory meatus characteristics of the user can be represented by an auditory meatus passive noise reduction curve. The noise reduction effect is very dependent on passive noise reduction, and theoretically, each person has a filter which is most suitable for own auditory meatus, so that when the passive noise reduction curve of the auditory meatus of the user is obtained, the noise reduction filter parameters most suitable for the user can be obtained.
Step S103, matching noise reduction filter parameters according to the auditory canal parameters.
In this embodiment, the noise reduction filter parameter may be a target feedforward filter parameter, and the noise reduction filter parameter matched based on the user's individual ear canal parameter may be more suitable for the user's individual ear canal feature, so as to improve the noise reduction effect.
In one embodiment, step S103 includes:
and generating target feedforward filter parameters according to the passive noise reduction curve of the auditory canal and the deepest noise reduction effect value.
In this embodiment, the passive noise reduction curve of the auditory canal is a noise reduction value of each frequency point automatically calculated by the earphone device, and the time is long because the numerical workload of the passive noise reduction curve of the auditory canal is relatively large; therefore, it is common practice to set a certain frequency band range and set a noise reduction maximum value of the frequency band range, so that the system can automatically calculate and identify the passive noise reduction curve of the auditory canal conveniently.
In this embodiment, the deepest noise reduction effect value may be set according to requirements defined by an actual product, and generally does not exceed 50dB; considering the water bed effect, 40dB is recommended to be optimal.
Referring to fig. 2, step S103 includes:
step S1031, adjusting the feedforward filter parameters according to the passive noise reduction curve and the deepest noise reduction effect value of the auditory canal, so as to perform noise reduction processing.
In one embodiment, the feedforward filter parameters include frequency bins and gain values; the adjusting the feedforward filter parameter according to the ear canal passive noise reduction curve and the deepest noise reduction effect value comprises:
and adjusting the frequency point and the gain value according to the passive noise reduction curve and the deepest noise reduction effect value of the auditory canal.
Step S1032, detecting a current residual noise value in the user' S ear canal.
In this embodiment, when the environmental noise is smaller than the first preset noise threshold, a single feedback microphone (FB MIC) is automatically started to obtain the current residual noise value in the ear canal.
Step S1033, determining whether the difference between the current residual noise value and the target model residual noise value is less than or equal to a second preset noise threshold.
In this embodiment, the second preset noise threshold may be a relatively small noise value, for example, the second preset noise threshold is 1db. If the difference value is smaller than or equal to the second preset noise threshold value, the current residual noise value is relatively close to the target model residual noise value, and the feedforward filter parameters are determined to be the most accordant at the moment. If the difference is greater than the second preset noise threshold, it is indicated that the difference between the current residual noise value and the target model residual noise value is greater, and the feedforward filter parameter needs to be adjusted until the difference between the detected residual noise value and the target model residual noise value is less than or equal to the second preset noise threshold.
In an embodiment, the obtaining the target model residual noise value includes:
acquiring a noise reduction objective curve;
and determining the residual noise value of the target model according to the maximum noise reduction depth of the noise reduction objective curve.
In one embodiment, the objective noise reduction curve can be tested by the Soundcheck and artificial head test system, and the maximum noise reduction depth of the objective noise reduction curve is matched to obtain the residual noise value of the target model; such as: the maximum noise reduction depth within 200HZ reaches 40dB.
Step S1034, if the difference is less than or equal to the second preset noise threshold, determining the current feedforward filter parameter as the target feedforward filter parameter.
In this embodiment, if the difference is less than or equal to the second preset noise threshold, it is indicated that the current residual noise value is relatively close to the target model residual noise value, the feedforward filter parameter at this time is determined to be the most consistent, the current feedforward filter parameter is determined to be the target feedforward filter parameter, and the noise reduction processing is performed with the target feedforward filter parameter.
Exemplary, if the first preset noise threshold is 70dB, if the noise of the current environment is 60dB, less than 70dB, the noise is inaccurate due to the fact that the noise is small, and accurate noise reduction cannot be achieved in the prior art. By adopting the earphone noise reduction method provided by the embodiment, based on the noise reduction processing of the auditory canal parameters, a noise reduction range can be determined based on the approximate noise level of the current environment, for example, the current environment noise is 60dB,60dB belongs to the noise reduction range of 50dB-70dB, and the noise is reduced according to the depth of 20dB-40dB, so that the noise reduction effect that the hearing feeling is kept at about 30dB is realized.
Step S1035, if the difference is greater than the second preset noise threshold, adjusting the feedforward filter parameter of the earphone until the difference between the residual noise value in the ear canal of the user and the residual noise value of the target model is less than the first preset noise threshold, and determining the current feedforward filter parameter as the target feedforward filter parameter.
In this embodiment, when the difference is greater than the second preset noise threshold, which indicates that the difference between the current residual noise value and the target model residual noise value is greater, the system automatically adjusts the value below 2KHZ of the FF filter, where the feedforward filter parameters include: frequency point, GAIN value, etc., and carries out noise reduction treatment in real time according to the feedforward filter parameters after adjustment, detects the residual noise value in the auditory canal in real time, compares the residual noise value detected in real time with the residual noise value of the target model until the residual noise value in the auditory canal acquired by FB MIC is close to the residual noise value of the target model, automatically adjusts the feedforward filter parameters, stops the function, automatically solidifies the feedforward filter parameters at the moment, and is automatically built in a program, and the feedforward filter parameters solidified in sequence carry out noise reduction treatment in the auditory canal.
And step S104, carrying out noise reduction processing in the auditory canal according to the noise reduction filter parameters.
In this embodiment, in an environment where the environmental noise is smaller than the first preset noise threshold, the adaptive detection function in the ear canal is started, the passive noise reduction curve of the ear canal of the user is automatically detected, the parameters of the target feedforward filter are automatically matched, the noise reduction effect is improved, and the user can experience a more appropriate noise reduction effect.
Referring to fig. 3, the method further comprises:
and step S105, when the environmental noise is larger than the first preset noise threshold, determining the target environment where the user is located according to the environmental noise.
In this embodiment, the environmental types may be divided according to the noise size, and the environmental types may be further divided according to the signal spectrum of the environmental noise. For example, a signal spectrum of the environmental noise is obtained, and a target environment in which the user is located is determined according to the signal spectrum.
Exemplary, after the environmental noise detected by the FF MIC on the earphone device is greater than or equal to a first preset noise threshold, the FFT detection function is turned on, a signal spectrum is obtained according to the picked environmental noise, and the living environment in which the specific user is located is automatically identified based on the signal spectrum. The noise frequency bands corresponding to different environmental noises are different. Exemplary, the signal spectrum of the environmental noise in the cabin environment is < 200HZ, the signal spectrum of the environmental noise in the subway environment is 400-1000 HZ, and the signal spectrum of the environmental noise in the restaurants and cafes is 200 HZ-400 HZ.
In this embodiment, signal spectrums corresponding to multiple environments may be obtained in advance, and after detecting a signal spectrum corresponding to an environment where a user is located, a target environment where the user is located may be determined by querying a correspondence between the signal spectrum and the environment.
And S106, acquiring target active noise reduction parameters matched with the target environment.
In this embodiment, after the earphone device automatically identifies the target environment in which the user is located, the system may call active noise reduction (ANC) filter parameters matched with the target environment from a plurality of preset active noise reduction (ANC) filter parameters. For example, the plurality of preset active noise reduction (ANC) filter parameters may be specific noise reduction ANC filter parameter settings with a deeper frequency band for 200hz, 400-1000 hz, and 200-400 hz, respectively.
In one embodiment, step S106 includes:
acquiring a target noise frequency band corresponding to the target environment;
determining the maximum value of the noise reduction depth of the target noise frequency band;
and determining the target active noise reduction parameters according to the maximum noise reduction depth.
In this embodiment, the setting manner of the plurality of preset ANC filter parameters is: the GAIN (GAIN) value of the ANC filter parameters for this band range is set to be slightly larger depending on the concentrated band of different noise distributions. For example, noise within 200hz, a PEAK (PEAK) point may be set at the ANC filter parameters, and the GAIN value may be set to a positive value, for example, the GAIN value may be set to +8db. It should be noted that the number of PEAK points and the GAIN value actually set within 200hz can be obtained by testing the noise reduction objective curve through acoustic detection (Soundcheck) and a simulated artificial head test system. The noise reduction depth maximum is exemplified to be within 200hz, wherein the noise reduction depth maximum is 40dB. And the noise reduction depth of other frequency bands can be slightly lost, so that a user experiences better noise reduction effect. In this embodiment, the target active noise reduction parameter is a target ANC filter parameter, and the target ANC filter parameter is determined according to the noise reduction depth maximum value.
And step S107, performing noise reduction processing according to the target active noise reduction parameters.
The target active noise reduction parameter is a target ANC filter parameter, and noise reduction is performed according to the target ANC filter parameter. In this way, the recognition of different environmental noises above the first preset noise threshold can be realized, the corresponding ANC filter parameters are matched, and the noise reduction effect of the corresponding environment is improved.
Further to the above, the method further comprises:
and detecting the environmental noise at preset time intervals.
In this embodiment, the real-time environment detection function is implemented by taking into consideration that the user may enter other living noise environment noise from different living noise environments, and detecting the environment noise at intervals of a preset time. The FF MIC detects environmental noise again every few seconds, and the living noise environment is identified in an A-weighted mode, so that continuous noise detection is realized, and a user can intelligently experience the most suitable noise reduction effect.
The existing noise reduction scheme has no in-ear canal self-adaptive detection and self-adaptive ANC filter parameter matching function; in addition, the environment noise is less than 70dBSPL and is set as an office environment, the existing MIC body can only identify the environment with the noise more than 60dBSPL, and the lower noise environment can not be accurately identified, so that the existing intelligent noise reduction scheme can not enable a user to obtain better noise reduction effect more accurately.
In this embodiment, under the environment that the environmental noise is less than or equal to a first preset noise threshold (for example, 70 dbSPL), the adaptive detection function in the ear canal is automatically started, the passive noise reduction curve of the ear canal of the user is automatically detected, and the parameters of the target feedforward filter are automatically matched, so that the noise reduction effect is improved, the user can experience a more appropriate noise reduction effect, and the function of detecting the environmental noise in real time is realized, for example: when a user walks from a mall to a subway station, the real-time detection function can automatically identify the living environment where the user is located and match the corresponding ANC filter parameters, so that a more accurate noise reduction scheme is provided, and the noise reduction effect is improved.
The earphone noise reduction method provided by the embodiment detects environmental noise; when the environmental noise is smaller than or equal to a first preset noise threshold value, acquiring the parameters of the auditory canal of the user; matching noise reduction filter parameters according to the auditory canal parameters; and carrying out noise reduction treatment in the auditory canal according to the noise reduction filter parameters. Under the environment that environmental noise is less than first default noise threshold value, can start the in-the-canal self-adaptation detection function, automatically detect user's ear canal parameter to automatically match the noise reduction filter parameter, improve the noise reduction effect, make the user experience more suitable noise reduction effect.
In addition, the application provides a headset noise reduction device.
As shown in fig. 4, the earphone noise reduction device 400 includes:
a detection module 401, configured to detect ambient noise when it is detected that the user wears the earphone;
an obtaining module 402, configured to obtain an ear canal parameter of a user when the environmental noise is less than or equal to a first preset noise threshold;
a matching module 403, configured to match noise reduction filter parameters according to the ear canal parameters;
and the noise reduction module 404 is used for performing noise reduction processing in the auditory canal according to the noise reduction filter parameters.
In one embodiment, the ear canal parameters include: the passive noise reduction curve of the auditory canal, the noise reduction filter parameters include: target feedforward filter parameters;
the matching module 403 is further configured to generate a target feedforward filter parameter according to the ear canal passive noise reduction curve and the deepest noise reduction effect value.
In an embodiment, the matching module 403 is further configured to adjust parameters of the feedforward filter according to the passive noise reduction curve and the deepest noise reduction effect value of the ear canal, so as to perform noise reduction processing;
detecting a current residual noise value in an ear canal of a user;
judging whether the difference value between the current residual noise value and the target model residual noise value is smaller than or equal to a second preset noise threshold value or not;
and if the difference value is smaller than or equal to the second preset noise threshold value, determining the current feedforward filter parameter as a target feedforward filter parameter.
And if the difference value is larger than the second preset noise threshold value, adjusting the feedforward filter parameter of the earphone until the difference value between the residual noise value in the ear canal of the user and the residual noise value of the target model is smaller than the second preset noise threshold value, and determining the current feedforward filter parameter as the target feedforward filter parameter.
In an embodiment, the earphone noise reduction device 400 further includes:
the first processing module is used for acquiring a noise reduction objective curve;
according toDetermining the residual noise value of the target model by the maximum noise reduction depth of the noise reduction objective curve 。
In one embodiment, the feedforward filter parameters include frequency bins and gain values; the matching module 403 is further configured to adjust the frequency point and the gain value according to the passive noise reduction curve and the deepest noise reduction effect value of the ear canal.
In an embodiment, the earphone noise reduction device 400 further includes:
the second processing module is used for determining a target environment where a user is located according to the environmental noise when the environmental noise is larger than the first preset noise threshold;
acquiring target active noise reduction parameters matched with the target environment;
and carrying out noise reduction processing according to the target active noise reduction parameters.
In an embodiment, the second processing module is further configured to obtain a target noise frequency band corresponding to the target environment;
determining the maximum value of the noise reduction depth of the target noise frequency band;
and determining the target active noise reduction parameters according to the maximum noise reduction depth.
The earphone noise reduction device 400 provided in this embodiment can implement the earphone noise reduction method provided in embodiment 1, and in order to avoid repetition, a detailed description is omitted here.
The earphone noise reduction device provided by the embodiment detects environmental noise; when the environmental noise is smaller than or equal to a first preset noise threshold value, acquiring the parameters of the auditory canal of the user; matching noise reduction filter parameters according to the auditory canal parameters; and carrying out noise reduction treatment in the auditory canal according to the noise reduction filter parameters. Under the environment that environmental noise is less than first default noise threshold value, can start the in-the-canal self-adaptation detection function, automatically detect user's ear canal parameter to automatically match the noise reduction filter parameter, improve the noise reduction effect, make the user experience more suitable noise reduction effect.
Furthermore, the application provides a wearable device comprising a memory and a processor, the memory storing a computer program which, when run on the processor, performs the earphone noise reduction method provided by embodiment 1.
In this embodiment, the wearable device may be an earphone device, which may be a wired earphone or a wireless earphone, which is not limited herein.
The earphone device provided in this embodiment may implement the earphone noise reduction method provided in embodiment 1, and in order to avoid repetition, a description thereof will be omitted.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the earphone noise reduction method provided in embodiment 1.
In the present embodiment, the computer readable storage medium may be a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, an optical disk, or the like.
The computer readable storage medium provided in this embodiment may implement the method for noise reduction of headphones provided in embodiment 1, and in order to avoid repetition, details are not repeated here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal comprising the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.
Claims (10)
1. A method of earphone noise reduction, the method comprising:
detecting environmental noise;
when the environmental noise is smaller than or equal to a first preset noise threshold value, acquiring the parameters of the auditory canal of the user;
matching noise reduction filter parameters according to the auditory canal parameters;
and carrying out noise reduction treatment in the auditory canal according to the noise reduction filter parameters.
2. The method of claim 1, wherein the ear canal parameters comprise: the passive noise reduction curve of the auditory canal, the noise reduction filter parameters include: target feedforward filter parameters;
the matching noise reduction filter parameters according to the auditory canal parameters comprises the following steps:
and generating target feedforward filter parameters according to the passive noise reduction curve of the auditory canal and the deepest noise reduction effect value.
3. The method of claim 2, wherein generating target feedforward filter parameters from the ear canal passive noise reduction curve and a deepest noise reduction effect value comprises:
adjusting feedforward filter parameters according to the passive noise reduction curve of the auditory canal and the deepest noise reduction effect value so as to perform noise reduction treatment;
detecting a current residual noise value in an ear canal of a user;
judging whether the difference value between the current residual noise value and the target model residual noise value is smaller than or equal to a second preset noise threshold value or not;
if the difference value is smaller than or equal to the second preset noise threshold value, determining the current feedforward filter parameter as a target feedforward filter parameter;
and if the difference value is larger than the second preset noise threshold value, adjusting the feedforward filter parameter of the earphone until the difference value between the residual noise value in the ear canal of the user and the residual noise value of the target model is smaller than the second preset noise threshold value, and determining the current feedforward filter parameter as the target feedforward filter parameter.
4. A method according to claim 3, wherein the obtaining of the target model residual noise value comprises:
acquiring a noise reduction objective curve;
and determining the residual noise value of the target model according to the maximum noise reduction depth of the noise reduction objective curve.
5. A method according to claim 3, wherein the feedforward filter parameters include frequency bins and gain values; the adjusting the feedforward filter parameter according to the ear canal passive noise reduction curve and the deepest noise reduction effect value comprises:
and adjusting the frequency point and the gain value according to the passive noise reduction curve and the deepest noise reduction effect value of the auditory canal.
6. The method according to claim 1, wherein the method further comprises:
when the environmental noise is larger than the first preset noise threshold, determining a target environment where a user is located according to the environmental noise;
acquiring target active noise reduction parameters matched with the target environment;
and carrying out noise reduction processing according to the target active noise reduction parameters.
7. The method of claim 6, wherein the obtaining target active noise reduction parameters that match the target environment comprises:
acquiring a target noise frequency band corresponding to the target environment;
determining the maximum value of the noise reduction depth of the target noise frequency band;
and determining the target active noise reduction parameters according to the maximum noise reduction depth.
8. A headset noise reduction device, the device comprising:
the detection module is used for detecting environmental noise;
the acquisition module is used for acquiring the parameters of the auditory canal of the user when the environmental noise is smaller than or equal to a first preset noise threshold value;
the matching module is used for matching noise reduction filter parameters according to the auditory canal parameters;
and the noise reduction module is used for carrying out noise reduction processing in the auditory canal according to the noise reduction filter parameters.
9. A wearable device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, performs the earphone noise reduction method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when run on a processor, performs the earphone noise reduction method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310782455.2A CN116647783A (en) | 2023-06-29 | 2023-06-29 | Earphone noise reduction method and device, wearable equipment and computer readable storage medium |
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