CN111800712B - Audio processing method and electronic equipment - Google Patents
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Abstract
The embodiment of the application provides an audio processing method and electronic equipment, wherein the method comprises the following steps: acquiring first audio data acquired by a first audio acquisition module; obtaining second audio data acquired by a second audio acquisition device; the second audio data can be used for reducing audio subdata matched with the second audio data in the first audio data; if the target audio data meet a switching condition, switching from a first state to a second state, wherein in the first state, the first audio data is processed based on the second audio data to obtain third audio data; and in the second state, processing the first audio data based on the second audio data to obtain fourth audio data, wherein the third audio data is different from the fourth audio data.
Description
Technical Field
The present invention relates to audio data processing technologies, and in particular, to an audio processing method and an electronic device.
Background
In the related art, an electronic device collects a sound signal of an environment around the electronic device through a microphone. When a user uses the electronic device to make a call or record, the noise reduction of the sound collected by the microphone is needed, but the noise reduction algorithm is relatively solidified, so that the noise reduction requirement of the user cannot be met.
Disclosure of Invention
In view of this, embodiments of the present application provide an audio processing method and an electronic device to solve the problems in the prior art.
The technical scheme of the embodiment of the application is realized as follows:
the embodiment of the application provides an audio processing method, which comprises the following steps:
acquiring first audio data acquired by a first audio acquisition module;
acquiring second audio data acquired by a second audio acquisition module; the second audio data can be used for reducing audio subdata matched with the second audio data in the first audio data;
and if the target audio data satisfies the switching condition, switching from a first state to a second state, wherein,
in the first state, processing the first audio data based on the second audio data to obtain third audio data;
and in the second state, processing the first audio data based on the second audio data to obtain fourth audio data, wherein the third audio data is different from the fourth audio data.
An embodiment of the present application provides an electronic device, which includes:
the first audio acquisition module is used for acquiring first audio data acquired by the first audio acquisition module;
The second audio acquisition module is used for acquiring second audio data acquired by the second audio acquisition module; the second audio data can be used for reducing the audio subdata matched with the second audio data in the first audio data;
a processing module for switching from a first state to a second state if the target audio data satisfies a switching condition, wherein,
in the first state, processing the first audio data based on the second audio data to obtain third audio data;
and in the second state, processing the first audio data based on the second audio data to obtain fourth audio data, wherein the third audio data is different from the fourth audio data.
The embodiment of the application provides an audio processing method and electronic equipment, first audio data are collected through a first audio collection module, second audio data are collected through a second audio collection module, then when target audio data meet a switching condition, the electronic equipment is switched from a first state to a second state, the audio data obtained after switching are different from the audio data before switching, and therefore when the target audio data meet the switching condition, the mode of processing the first audio data can be switched, the first audio data are processed in an adaptive processing mode, and the obtained processed audio data can better meet the requirements of users.
Drawings
FIG. 1 is a schematic diagram illustrating an implementation flow of an audio processing method according to an embodiment of the present application;
FIG. 2A is a schematic flowchart of another implementation of an audio processing method according to an embodiment of the present application;
fig. 2B is a schematic structural diagram of a headphone according to an embodiment of the present application;
FIG. 3 is a schematic flowchart illustrating a further implementation of an audio processing method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning by themselves. Thus, "module", "component" or "unit" may be used mixedly.
The terminal may be implemented in various forms. For example, the electronic device described in this application may be a headset, a sound box, a mobile phone, or a computer.
The following description will be given taking a mobile terminal as an example, and it will be understood by those skilled in the art that the configuration according to the embodiment of the present application can be applied to a fixed type terminal in addition to elements particularly used for mobile purposes.
An embodiment of the present application provides an audio processing method, and fig. 1 is a schematic diagram illustrating an implementation flow of the audio processing method according to the embodiment of the present application, where as shown in fig. 1, the audio processing method includes the following steps:
step S101: first audio data acquired by the first audio acquisition module are obtained.
Here, the audio collection module may be a microphone or the like, and may be a device capable of collecting a sound signal. In the case of a microphone, the first audio acquisition module is a microphone mainly used for acquiring human voice, and may be a microphone used for acquiring human voice in an Environmental Noise Cancellation (ENC) headset. The first audio data comprises human voice and environmental audio data of the environment where the electronic equipment is located.
Step S102: and obtaining second audio data collected by the second audio collecting module.
Here, the second audio data may be used to reduce the audio sub data in the first audio data that matches the second audio data.
The second audio collecting module is mainly a microphone for collecting the environmental audio data of the environment where the electronic device is located, and can be a Reference microphone of an ENC headset. The second audio data mainly comprises environmental audio data of the environment where the electronic equipment is located. The audio subdata refers to noise in the first audio data, and the audio subdata in the first audio data is matched with the second audio data.
In this embodiment, the second audio data is audio sub-data for reducing noise in the first audio data, and the audio sub-data matches sound collected by a reference microphone of the second audio collection module ENC headset. In the embodiment of the present application, the environmental noise or the environmental audio data both refer to the audio sub-data, and both refer to the noise audio data in the first audio data.
After the audio subdata in the first audio data is reduced according to the second audio data, the audio subdata can be used for enabling a first user of the electronic equipment to reduce the audio data for perceiving the sound of the environment where the electronic equipment is located. Therefore, the first audio data and the second audio data can reduce the noise, namely the audio subdata, of the environment where the electronic equipment is located, and a first user can obtain clearer sound.
Step S103: and if the target audio data meets the switching condition, switching from the first state to the second state.
Here, in the first state, the first audio data is processed based on the second audio data to obtain third audio data;
and in the second state, processing the first audio data based on the second audio data to obtain fourth audio data, wherein the third audio data is different from the fourth audio data.
In this embodiment, the switching condition refers to when the amplitude parameter of the target audio data is relatively large, for example, the decibel value of the target audio data is relatively large, or when human voice is detected.
In a first state, processing the first audio data in a first manner, for example, removing all audio subdata, that is, environmental audio data, in the first audio data to obtain third audio data; and in the second state, processing the first audio data in a second mode, for example, removing part of the audio sub-data, that is, the environmental audio data, in the first audio data to obtain fourth audio data. The first and second modes are different processing modes. The first mode is a common ENC noise reduction processing mode, and the second mode can be a mode for enhancing the ENC noise reduction amplitude or a mode for weakening the ENC noise reduction amplitude.
In some embodiments, the third audio data and the fourth audio data are audio data obtained by processing the audio sub-data of the first audio data. Moreover, because the first audio data are processed in different manners, the removal amplitude, the removal proportion, or the removal quantity of the audio sub-data in the first audio data are different, so that the obtained third audio data and the fourth audio data are different, and further, the similarity between the third audio data and the first audio data is different from the similarity between the fourth audio data and the first audio data.
In a specific example, a human voice microphone of the ENC and a reference microphone of the ENC are taken as an example for explanation,
in the first state, a common ENC noise reduction mode is adopted, and the second audio data collected by the reference microphone of the ENC and the first audio data collected by the human voice microphone of the ENC are subtracted to obtain third audio data. Or an aggressive ENC noise reduction mode, when the human voice generated by the user of the first electronic device is not detected, the input of the microphone system is turned off, and at this time, the second electronic device cannot receive the environmental audio data of the environment where the first electronic device is located.
And in the second state, generating an inverse sound wave with a corresponding amplitude according to second audio data collected by the reference microphone of the ENC, subtracting the first audio data collected by the human voice microphone of the ENC from the inverse sound wave with the corresponding amplitude, and removing part of environmental audio data in the first audio data to obtain fourth audio data. Or when the voice generated by the user of the first electronic equipment is detected, the first electronic equipment is switched to the second state, the second audio data collected by the reference microphone of the ENC and the first audio data collected by the voice microphone of the ENC are subtracted, the environmental audio data in the first audio data are removed, and the fourth audio data are obtained.
In this application embodiment, gather first audio data through first audio acquisition module, gather second audio data through the second audio acquisition module, then when target audio data satisfies the switching condition, switch electronic equipment from the first state to the second state, make the audio data that obtains after the switching be different with the audio data before switching, so, can satisfy the switching condition when target audio data, the mode that will handle first audio data switches, adopt the processing mode of adaptation to handle first audio data, it is that the processing audio data who obtains more can accord with user's demand.
In some embodiments, when the decibel value of the target audio data exceeds the preset threshold, the noise reduction degree of the second audio acquisition module is reduced. The step S103 can also be implemented as follows:
and if the amplitude parameter of the target audio data exceeds a threshold value, switching from the first state to the second state so that the similarity of the fourth audio data and the first audio data is greater than the similarity of the third audio data and the first audio data.
Here, the amplitude parameter of the target audio data refers to the volume or amplitude in decibels of the target audio data. The threshold may be set to N decibels, N being a positive integer. The similarity refers to the similarity between the audio data obtained by removing part or all of the audio sub-data in the first audio data and the original first audio data. For example, when the audio sub-data in the first audio data is not removed at all, the similarity between the obtained audio data and the original first audio data is 100%; when the first audio data contains 10 frequency bands, 8 frequency bands are removed, and 2 frequency bands are reserved, the similarity between the obtained processed audio data and the original first audio data is 20%, and if the amplitude of the audio data in the removed 8 frequency bands is only deleted by 60%, the similarity is 52%. Similar to such a calculation, it is possible to calculate the amplitude parameter from the audio data such as: and calculating the similarity between the audio data after the first audio data is processed and the original first audio data according to the decibel value or the frequency range.
In a specific example, the threshold is set to 65 db, and when the db value of the target audio data is detected to exceed 65 db, the electronic device is switched from the first state to the second state. And the similarity between the fourth audio data obtained by processing the first audio data after the switching and the first audio data is greater than the similarity between the third audio data obtained by processing the first audio data before the switching and the first audio data. In the second state, the second audio data is adopted, and after the audio subdata in the first audio data is removed, the similarity of the obtained fourth audio data and the original first audio data is higher. That is, after switching the states, the noise reduction amplitude in the second state is smaller than the noise reduction amplitude in the first state, and in general, the original noise reduction amplitude is weakened.
Such a noise reduction method is a reverse process compared to the related art that the noise reduction amplitude is increased when the volume of the environmental noise of the environment where the electronic device is located is large. Because the noise at this time is close to the voice, if the original ENC noise reduction mode is adopted, partial voice can be eliminated, and finally the voice is suddenly high and suddenly low or the voice volume is too small, so that the communication quality or the recording quality is not good. In the embodiment, by switching the noise reduction state, the audio data with higher similarity to the first audio data is obtained, the original noise reduction range is weakened, the audio data with low environmental noise and clear voice is obtained, and the call quality or the recording quality is ensured.
Therefore, when the amplitude parameter of the target audio data exceeds the threshold value, the noise reduction mode of the electronic equipment can be switched, the original noise reduction amplitude of the electronic equipment is weakened, and the obtained audio data subjected to noise reduction processing can better meet the requirements of users.
In an implementation, the target audio data may include second audio data collected by a second audio collecting module, wherein the first audio collecting module is disposed at a first position, the second audio collecting module is disposed at a second position, and a distance between the second position and the target sound source is greater than a distance between the first position and the target sound source.
Here, the second audio capture module may be embodied as a reference microphone of an ENC earphone of the headset, and is mainly used for capturing the environmental audio data of the current environment of the electronic device, that is, the second audio data. The first audio capture module may be embodied as a microphone of an ENC headset of the headset that captures human voice. The target sound source refers to a sound emitted from the mouth of the user of the first electronic device, i.e., the headset. In case the first electronic device is a headset, the first position refers to a position of the headset near the cheek or near the ear, and the second position generally refers to a position of the headset connector at the top of the head.
In some embodiments, the distance between the second position and the target sound source is greater than the distance between the first position and the target sound source, which means that the probability that the second position is farther from the target sound source is greater than the probability that the first position is farther from the target sound source. Typically, when a user is using a headset, the probability that the overhead microphone is farther from the mouth is greater than the probability that the microphone on that headset is farther from the mouth. However, in actual use, there are cases where the electronic device and the headphone are held in the hand and the mouth of the user speaks into the overhead microphone, which is closer to the mouth of the person.
In some realizable embodiments, when the target audio data is the second audio data, that is, the amplitude parameter (e.g., decibel value) of the environmental audio data collected by the reference microphone of the ENC, exceeds the threshold, that is, the intensity of the environmental audio data is high, at this time, if the original noise reduction mode is adopted to reduce the noise of the environmental audio data in the first audio data, the intensity of the human voice obtained after the noise reduction is too low or the human voice is suddenly reduced. In this embodiment, the method is an opposite process to the original noise reduction method, that is, when the intensity of the ambient noise is high, the noise reduction amplitude is enhanced. In this application, when the ambient noise intensity is big, reduce original range of making an uproar, consequently need switch over the state of making an uproar of falling electronic equipment to the second state from the first state, the ENC that weakens electronic equipment falls the range of making an uproar for the audio data that obtains after making an uproar falls is that ambient audio data intensity is not high and the voice is clear.
Therefore, when the amplitude parameter of the environmental noise of the environment where the electronic equipment is located exceeds the threshold value, the noise reduction state of the electronic equipment can be switched, so that the noise reduction amplitude of the earphone of the electronic equipment is weakened, and the audio data which better meets the requirements of users is obtained.
In some embodiments, when the target audio data is the second audio data and the amplitude parameter of the target audio data exceeds the preset threshold, the first audio data in the second state may be processed by:
the method comprises the following steps: determining a difference between the amplitude parameter of the target audio data and the threshold.
Here, the amplitude parameter of the target audio data may be a volume of the target audio data, expressed in decibels. In one example, the amplitude parameter of the target audio data is 80 db, the threshold value is 70 db, and the difference is 10 db.
Step two: determining the amplitude to be adjusted according to the difference value;
here, when the amplitude parameter of the target audio data exceeds the threshold value, this time indicates that the level of the target audio data, i.e., the environmental audio data, is sufficiently large and exceeds the volume of the human voice. At this time, if the ordinary noise reduction method is adopted for noise reduction, the voice is eliminated, so that the useful voice part is also eliminated, and the communication quality is poor. At this time, the amplitude of noise reduction for the first audio data is determined according to the difference. In one example, if the amplitude parameter of the target audio data is 80 db, the threshold is 70 db, and the difference is 10 db, it is determined that the amplitude of the environmental audio data in the first audio data to be adjusted is 30 db according to the difference.
In some embodiments, the level of the difference may also be determined according to the magnitude of the difference, and then the amplitude to be adjusted may be determined according to the level of the difference. For example, a table may be established, the difference level corresponding to the difference value and the amplitude to be adjusted corresponding to each level may be input therein, and after the difference value is determined, the table may be checked to determine the level of the difference value, and then the amplitude to be adjusted may be determined.
Step three: and processing the first audio data according to the amplitude to be adjusted based on the second audio data to obtain the fourth audio data.
The processor generates an inverse sound wave with the same amplitude as the amplitude to be adjusted according to the second audio data by comparing the first audio data with the second audio data, and removes the audio subdata matched with the second audio data in the first audio data by using the inverse sound wave to obtain fourth audio data.
Therefore, when the amplitude parameter of the target audio data exceeds the threshold value, the environmental audio data in the first audio data can be properly reduced, so that the second electronic equipment can acquire the audio data with clear human voice and low noise.
In some embodiments, when the target audio data is the second audio data, it may be determined whether to switch from the first state to the second state by detecting a duration of time during which a magnitude parameter of the target audio data exceeds a threshold. The step S103 can be implemented by the following steps:
the method comprises the following steps: a first duration for which a magnitude parameter of the target audio data exceeds a threshold is determined.
Here, the amplitude parameter of the target audio data refers to the volume or amplitude in decibels of the target audio data. The first duration may be set to N seconds. In a specific example, the threshold is 60 db, the amplitude parameter of the target audio data, such as a db value, is detected in real time, when the detected db value is 75 db, the 75 db is greater than 60 db, and the detected 75 db volume of the target audio data lasts for 10 seconds.
Step two: and if the first duration is longer than the preset duration, switching from the first state to the second state.
Here, the preset time period may be set according to an actual situation of a user of the first electronic device. In a specific example, the preset time period is set to 5 seconds, and when it is detected that the volume of the target audio data with 75 db lasts for 10 seconds, which indicates that the first duration is longer than the preset time period, the electronic device needs to be switched from the first state to the second state.
In this way, the switching of states can be triggered only if the amplitude of the target audio data is large and lasts for a sufficient time.
In some embodiments, the target audio data may be audio data collected by the third audio collection module, and the target audio data may be determined by:
the method comprises the following steps: and acquiring fifth audio data acquired by the third audio acquisition module.
Here, when the electronic device is a headset, the third audio acquisition module may be a feedback-back (FB) microphone of an Active Noise Cancellation (ANC) earphone of the headset. The third audio acquisition module is mainly used for collecting environmental audio data, namely fifth audio data when the electronic equipment works.
Step two: the target audio data includes the fifth audio data.
Here, the first audio collection module is disposed at the first position, and the third audio collection module is disposed at a third position, the third position being located in an output direction of the audio output module, the first position being different from the third position.
In some embodiments, both ANC and ENC function headsets have multiple microphones and are used for different purposes, with 4 microphones being required for the hybrid noise reduction microphone (two feedforward noise reduction microphones (FF microphones), two feedback noise reduction microphones (FB microphones)). The first audio collecting module may be a microphone for collecting human voice of an ENC earphone of the headset, or an FF microphone of an ANC earphone of the headset. In case the first electronic device is a headset, the first position refers to a headset position near the cheek or a headset position near the ear; the third position is the output direction of the audio output module. In case the first electronic device is a wearable headset, the third position is the direction in which the speaker is located. In some examples, the FB microphone may be disposed within an ear cup of the ANC earpiece when the probability that the third location is further away from the target sound source is greater than the probability that the first location is further away from the target sound.
In some embodiments, the first audio capture module and the third audio capture module may be audio capture modules of two systems, where the two audio capture modules are different modules without any relationship, such as: the first audio acquisition module may be embodied as a microphone of an ENC earphone of the headset for acquiring human voice, and the third audio acquisition module may be an FB microphone of an ANC earphone of the headset. First audio acquisition module and third audio acquisition module can be the audio acquisition module of same system, at this moment, when making an uproar falling, the people's voice audio data that will multiplex first audio acquisition module and gather, for example: the first audio collection module may be an FF microphone of an ANC earphone of the headset and the third audio collection module may be an FB microphone of the ANC earphone of the headset.
In some embodiments, the microphone of the FB may perform voice activity detection recognition according to a human voice in the collected sound, so as to determine whether to turn off the input to the microphone direction system according to the detected human voice, and further determine whether to switch the noise reduction state of the electronic device. By detecting the frequency band of the audio data acquired by the FB microphone, in case one, when the frequency band does not include the preset frequency band to which the human voice belongs, it is indicated that the human voice is not acquired by the FB microphone, and the user of the first electronic device does not speak, and at this time, the input of the microphone direction system is closed, so that the electronic device does not need to receive any environmental audio data around the current electronic device, and the audio data heard by the second user of the second electronic device is not affected by the environmental noise of the environment where the first electronic device is located. This is in fact an aggressive ENC noise reduction strategy. In case two, when the frequency band includes the preset frequency band to which the human voice belongs, it is indicated that the first user of the first electronic device is speaking, and at this time, the input of the microphone direction system is turned on, and ENC denoising processing is performed, so that the first user of the first electronic device reduces audio data of the sound of the environment where the first electronic device is perceived. The voice activity detection and recognition are carried out through the FB microphone, the switching of the noise reduction state is determined according to the detected voice, the noise reduction amplitude in the first state is weakened, and the noise reduction effect is more in line with the requirements of a user.
Like this, can set up target audio data into the data that the third audio acquisition module was gathered, with according to target audio data when satisfying the switching condition, confirm to switch the state of making an uproar that falls of electronic equipment, the earphone of weakening electronic equipment falls the range of making an uproar, make the audio data after falling the noise accord with user's demand more, solved because the environment is complicated, if fall the mistake of making an uproar, the problem that the noise reduction effect is not good, make when detecting user's speaking, adopt the mode of making an uproar that falls of weakening, the volume of the audio data who obtains can not be neglected the height.
In some embodiments, the first audio data may be processed according to the audio data collected by the third audio collecting module, so as to reduce the audio data of the sound of the environment where the first electronic device is located, which is perceived by a user using the electronic device.
The method comprises the following steps: determining difference audio data between the first audio data and the fifth audio data.
Here, in a case where the first electronic device is a headset, the first audio data is audio data collected by an FF microphone of the ANC headset, the fifth audio data is audio data collected by an FB microphone of the ANC headset, the audio data collected by the FF microphone includes sound of a user and environmental audio subdata, and the processor receives the audio data collected by the FF microphone and the FB microphone, and at this time, the human audio data collected by the FF microphone of the ANC headset may be multiplexed, and then the processor subtracts the input human audio data from the environmental audio data by comparing the two sets of input sound signals, so as to obtain difference audio data.
Step two: and controlling the audio output module to play sixth audio data according to the difference audio data.
Here, the sixth audio data can be used for audio data that allows a user of the first electronic device to reduce perception of sound of an environment in which the first electronic device is located. Under the condition that the first electronic device is a headset, the audio output module can be a loudspeaker on the headset and is used for outputting the processed audio data which is subjected to noise reduction. After the difference audio data is determined, the sixth audio data is played through an audio output module, namely a loudspeaker, so that noise audio data in the environment are offset or weakened, the purpose of noise reduction is achieved, and a user of the first electronic device can sense the environmental audio data of the environment where the first electronic device is located in a reduced mode.
Like this, can gather the audio data that the module was gathered through multiplexing first audio frequency and the audio data that the third audio frequency was gathered the module, fall the noise to the audio frequency subdata in the first audio data promptly ambient noise, can reduce the perception of user to the ambient noise of first electronic equipment place environment.
In some embodiments, after the electronic device is switched to the second state, it is detected in real time whether the electronic device satisfies the switching condition, and the second state is maintained for a duration of time when the switching condition is satisfied, which may be implemented by:
And the target audio data keeps the second state within a second duration after the switching condition is met.
Here, after the first electronic device switches to the second state, whether the target audio data satisfies the switching condition is detected in real time: whether the amplitude parameter of the target audio data exceeds a threshold value and whether the audio data collected by the third audio collection module of the first electronic device comprises the sound of a user is detected. And if the amplitude parameter of the target audio data is detected to exceed the threshold value or the sound of the user is detected within the second duration, keeping the first electronic equipment in the second switching state for the second duration. For example, after the state is switched, if it is detected that the first electronic device meets the switching condition within N seconds, the first electronic device is kept in the second state within N seconds.
In some embodiments, after the first electronic device switches to the second state, the first electronic device may remain in the second state and no longer switch states; or setting a timing duration, for example, the second state lasts for a certain duration of 5 seconds, then closing the second state, switching to the first state, then detecting the target audio data, and switching to the second state when the target audio data meets the switching condition.
Therefore, whether the target audio data meet the switching condition or not can be detected in real time, when the switching condition is met in the second duration, the first electronic equipment is kept in the second state in real time, and then a corresponding noise reduction mode can be adopted in real time according to the state of the target audio data, so that the purpose of noise reduction is achieved.
In some embodiments, after the electronic device is switched from the first state to the second state, the processed audio data needs to be sent to the second electronic device, so that a user of the second electronic device perceives less audio data of the sound of the environment where the second electronic device is located. In this embodiment of the application, the processed first audio data may be sent to the second electronic device in the following manner:
the method I comprises the following steps: and in the first state, sending the third audio data to a second electronic device.
Here, the second electronic device is an electronic device that communicates with the first electronic device. The first electronic equipment obtains third audio data after denoising the first audio data in a first state in a first mode, and then sends the third audio data to the second electronic equipment, so that a user of the second electronic equipment can perceive noise of the environment where the first electronic equipment is located less.
The second method comprises the following steps: and in the second state, sending the fourth audio data to the second electronic equipment.
Here, the first electronic device performs noise reduction on the first audio data in the first state in the second mode to obtain fourth audio data, and then sends the fourth audio data to the second electronic device, so that a user of the second electronic device can perceive noise of an environment where the first electronic device is located less.
Therefore, after the noise of the first audio data is reduced, the audio data with the reduced environmental audio data is sent to the second electronic equipment communicated with the first electronic equipment, so that the user of the second electronic equipment can be reduced to reduce the sound of the environment where the first electronic equipment is located, and the noise reduction effect is achieved.
In some embodiments, audio data in a first state or a second state may be processed by:
the first method is as follows:
firstly: in the first state, seventh audio data characterizing a difference between the first audio data and the second audio data is determined.
Here, a general ENC noise reduction mode of the headphone is adopted, and the processor compares two sets of input audio data, and subtracts the input first audio data from the input second audio data to obtain seventh audio data.
Secondly, the method comprises the following steps: and processing the seventh audio data by adopting the second audio data to obtain the third audio data.
Therefore, in the first state, the first electronic device can perform noise reduction by adopting a common ENC noise reduction method, so that the audio data heard by the second user of the second electronic device is clearer.
The second method comprises the following steps:
firstly: in the second state, eighth audio data characterizing a difference between the first audio data and the second audio data is determined.
Secondly, the method comprises the following steps: and processing the eighth audio data by adopting the second audio data to obtain the fourth audio data.
Here, a method of weakening the ENC noise reduction amplitude or a method of strengthening the ENC noise reduction amplitude may be adopted, that is, according to the amplitude to be adjusted, a reverse sound wave having the same size as the amplitude to be adjusted is generated, and the eighth audio data is processed to obtain the fourth audio data.
Therefore, in the second state, the first electronic device can perform noise reduction on the first audio data by adopting a weakened or strengthened ENC noise reduction method, so that the second electronic device can acquire the audio data with clear voice and low noise.
In the following, an exemplary application of the embodiment of the present application in a practical application scenario will be described to switch the noise reduction state of the electronic device. The ENC headset is not effective to all noise intensities in practice, the essence of the ENC algorithm is to filter out sounds in unnecessary frequency ranges so as to highlight voices, but if the decibel value level of the noise is large enough or the noise type is too close to the voices, opening the ENC will result in poor actual call quality, for example, the voices are too small or high or low. An audio processing method is provided in an embodiment of the present application, and fig. 2A is a schematic flowchart of another implementation flow of the audio processing method in the embodiment of the present application, as shown in fig. 2A, the audio processing method includes the following steps:
Step S201: the first audio data collected by the first audio collecting module is obtained.
Here, the FF microphone of ANC is used for audio data acquisition, and a certain degree of beamforming microphone array can be formed through the FF microphones of ANC on both sides, so as to enhance the speech recognition capability.
Fig. 2B is a schematic structural diagram of the headset according to the embodiment of the present disclosure. As shown in fig. 2B, 21 is an FF microphone of ANC, 22 is a reference microphone of ENC, and 23 is an FB microphone of ANC.
In other embodiments, the headset may also be other types of headphones, such as: in-ear headphones, glasses type headphones, behind-the-head or neck-hung headphones, and the like.
Step S202: and acquiring second audio data acquired by the second audio acquisition module.
Here, placing the reference microphone 22 of the ENC on top of the first electronic device, e.g. the headset headband, away from the user's mouth and vocal cords position minimizes the pick-up of human voice and thus better identifies the ambient audio data, i.e. noise.
Step S203: and adopting a third audio acquisition module to detect voice activity.
Here, using the FB microphone 23 of ANC located in the ear cup of the first electronic device, e.g. the headband of a headset, for Voice Activity Detector (VAD) recognition, the erroneous judgment of whether the user is speaking or not due to the ambient noise can be reduced, since the FB microphone of ANC faces the inside of the human ear and has a better seal. The VAD has the effect that when the user is not speaking, the earphone uses a more aggressive noise reduction strategy, such as directly turning off the output of the microphone, thus ensuring that the user of the second electronic device communicating with the first electronic device is not disturbed by noise when the user is not speaking. When the user of the first electronic device speaks, the ENC noise reduction strategy of the earphone is relatively mild, so that the conversation quality can be ensured as much as possible.
Step S204: if the amplitude parameter of the second audio data is greater than the threshold, the noise reduction amplitude is weakened.
Here, if the amplitude parameter of the second audio data is greater than the threshold, it indicates that the first electronic device is in a high noise environment, and in the high noise environment, the ENC noise reduction depth may be reduced by setting an appropriate threshold when the noise is higher than the threshold, so as to ensure that the user of the second electronic device can hear the audio data sent by the user of the first electronic device.
Therefore, by setting a proper threshold, the noise reduction capability of the ENC earphone is attenuated under the condition that the threshold is exceeded, so that the communication quality is acceptable, the problem that the ENC has the counteractive effect under the high-noise condition can be solved in a firmware mode, and the ENC noise reduction effect can be improved and the cost can be reduced by reasonably multiplexing the FF microphone of the ANC and the ENC reference microphone placed at a proper position.
An audio processing method is provided in an embodiment of the present application, and fig. 3 is a schematic flowchart of another implementation flow of the audio processing method in the embodiment of the present application, and as shown in fig. 3, the audio processing method includes the following steps:
step S301: an average of the audio data collected by the ENC reference microphone is determined.
Here, the value of the amplitude parameter of the audio data collected by the ENC reference microphone for a certain period of time is determined and the average value is calculated.
Step S302: determining whether the average value is greater than a preset threshold value.
Here, if the average value is equal to or greater than a preset threshold value, step S303 is performed; if the average value is smaller than the preset threshold value, step S304 is performed.
Step S303: and reducing the noise reduction amplitude of the ENC.
Here, the amplitude to be denoised is determined from the difference between the average value and the preset threshold. And according to the amplitude to be denoised, performing ENC denoising.
Step S304: the noise reduction amplitude of ENC is maintained.
Here, the normal ENC noise reduction method continues to be used for noise reduction.
In this way, by setting a suitable threshold, the noise reduction capability of the ENC headset is attenuated to ensure the call quality when the amplitude parameter of the audio data collected by the reference microphone exceeds the threshold.
Based on the foregoing embodiments, an electronic device is provided in an embodiment of the present application, and fig. 4 is a schematic view of a composition structure of the electronic device provided in the embodiment of the present application, as shown in fig. 4, the electronic device includes: first audio acquisition module 401, second audio acquisition module 402 and processing module 403, wherein:
the first audio acquisition module 401 is configured to obtain first audio data acquired by the first audio acquisition module;
the second audio acquisition module 402 is configured to obtain second audio data acquired by the second audio acquisition module; the second audio data can be used for reducing audio subdata matched with the second audio data in the first audio data;
the processing module 403 is configured to switch from a first state to a second state if the target audio data satisfies a switching condition, wherein,
In the first state, processing the first audio data based on the second audio data to obtain third audio data;
and in the second state, processing the first audio data based on the second audio data to obtain fourth audio data, wherein the third audio data is different from the fourth audio data.
In the above electronic device, the processing module 403 is further configured to switch from the first state to the second state if the amplitude parameter of the target audio data exceeds a threshold, so that the similarity between the fourth audio data and the first audio data is greater than the similarity between the third audio data and the first audio data.
In the above electronic device, the target audio data includes the second audio data, wherein the first audio collecting module is disposed at a first position, the second audio collecting module is disposed at a second position, and a distance between the second position and the target sound source is greater than a distance between the first position and the target sound source.
In the above electronic device, the processing module 403 is further configured to determine a first duration that a magnitude parameter of the target audio data exceeds a threshold; and if the first duration is longer than the preset duration, switching from the first state to the second state.
In the above electronic device, the electronic device further includes:
the third audio acquisition module is used for acquiring fifth audio data acquired by the third audio acquisition module;
the target audio data comprises the fifth audio data, wherein the first audio acquisition module is arranged at the first position, the third audio acquisition module is arranged at the third position, the third position is located in the output direction of the audio output module, and the first position is different from the third position.
In the above electronic device, the processing module 403 is further configured to determine difference audio data between the first audio data and the fifth audio data; controlling the audio output module to play sixth audio data according to the difference audio data; the sixth audio data can be used for enabling a user of the first electronic device to reduce audio data of sound of an environment where the first electronic device is located.
In the above electronic device, the processing module 403 is further configured to keep the target audio data in the second state for a second duration after the switching condition is met.
In the above electronic device, the processing module 403 is further configured to determine a difference between the amplitude parameter of the target audio data and the threshold; determining the amplitude to be adjusted according to the difference value; and processing the first audio data according to the amplitude to be adjusted based on the second audio data to obtain the fourth audio data.
In the above electronic device, the electronic device includes:
the first body comprises a first audio output module;
the first end of the connecting body is connected with the first body;
the second body comprises a second audio output module and is connected with a second end of the connecting body, wherein the first end and the second end are opposite ends, and at least part of the first body, the connecting body and/or the second body is used for keeping the relative position relationship between the electronic equipment and the head of a user;
wherein,
the first audio acquisition module is arranged at a first position of the first body, and the second audio acquisition module is arranged at a second position of the connecting body; or
The first audio acquisition module is arranged at a first position of the first body, the third audio acquisition module is arranged at a third position of the first body, the third position is located in the output direction of the first audio output module, and the first position is different from the third position.
In some embodiments, the electronic device may be a wireless headset without a connector, in which case the ENC reference microphone is disposed at a position towards the rear or above the first body or the second body.
Here, it should be noted that: the above description of the storage medium and device embodiments is similar to the description of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not imply any order of execution, and the order of execution of the processes should be determined by their functions and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
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 apparatus 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 apparatus. Without further limitation, an element identified by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or portions thereof contributing to the related art may be embodied in the form of a software product stored in a storage medium, and including several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present application, and shall cover the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of audio processing, the method comprising:
acquiring first audio data acquired by a first audio acquisition module;
acquiring second audio data acquired by a second audio acquisition module; the second audio data can be used for reducing audio subdata matched with the second audio data in the first audio data;
and if the target audio data satisfies the switching condition, switching from a first state to a second state, wherein,
in the first state, determining seventh audio data characterizing a difference between the first audio data and the second audio data; processing the seventh audio data by adopting the second audio data to obtain third audio data;
in the second state, determining eighth audio data representing a difference between the first audio data and the second audio data; and processing the eighth audio data by adopting the second audio data to obtain fourth audio data, wherein the third audio data is different from the fourth audio data.
2. The method of claim 1, wherein switching from a first state to a second state if the target audio data satisfies a switching condition, comprises:
and if the amplitude parameter of the target audio data exceeds a threshold value, switching from the first state to the second state so that the similarity of the fourth audio data and the first audio data is greater than the similarity of the third audio data and the first audio data.
3. The method of claim 2, further comprising:
the target audio data comprises the second audio data, wherein the first audio acquisition module is arranged at a first position, the second audio acquisition module is arranged at a second position, and the distance between the second position and the target sound source is greater than the distance between the first position and the target sound source.
4. The method of claim 3, the switching from the first state to the second state if a magnitude parameter of target audio data exceeds a threshold, comprising:
determining a first duration for which a magnitude parameter of the target audio data exceeds a threshold;
and if the first duration is longer than the preset duration, switching from the first state to the second state.
5. The method of claim 2, further comprising:
acquiring fifth audio data acquired by the third audio acquisition module;
the target audio data comprises the fifth audio data, wherein the first audio acquisition module is arranged at a first position, the third audio acquisition module is arranged at a third position, the third position is located in the output direction of the audio output module, and the first position is different from the third position.
6. The method of claim 5, further comprising:
determining difference audio data between the first audio data and the fifth audio data;
controlling the audio output module to play sixth audio data according to the difference audio data; the sixth audio data can be used for enabling a user of the first electronic device to reduce audio data of sound of an environment where the first electronic device is located.
7. The method of claim 1, after the switching from the first state to the second state if the target audio data satisfies the switching condition, the method further comprising:
and the target audio data keeps the second state within a second duration after the switching condition is met.
8. The method of claim 3, the method comprising:
determining a difference between a magnitude parameter of the target audio data and the threshold;
determining the amplitude to be adjusted according to the difference value;
and processing the first audio data according to the amplitude to be adjusted based on the second audio data to obtain the fourth audio data.
9. An electronic device, the electronic device comprising:
The first audio acquisition module is used for acquiring first audio data acquired by the first audio acquisition module;
the second audio acquisition module is used for acquiring second audio data acquired by the second audio acquisition module; the second audio data can be used for reducing audio subdata which is matched with the second audio data in the first audio data;
a processing module for switching from a first state to a second state if the target audio data satisfies a switching condition, wherein,
in the first state, determining seventh audio data characterizing a difference between the first audio data and the second audio data; processing the seventh audio data by adopting the second audio data to obtain third audio data;
in the second state, determining eighth audio data representing a difference between the first audio data and the second audio data; and processing the eighth audio data by adopting the second audio data to obtain fourth audio data, wherein the third audio data is different from the fourth audio data.
10. The electronic device of claim 9, the electronic device comprising:
the first body comprises a first audio output module;
A connector, a first end of which is connected with the first body;
the second body comprises a second audio output module and is connected with a second end of the connecting body, wherein the first end and the second end are opposite ends, and at least part of the first body, the connecting body and/or the second body is used for keeping the relative position relationship between the electronic equipment and the head of a user;
wherein,
the first audio acquisition module is arranged at a first position of the first body, and the second audio acquisition module is arranged at a second position of the connecting body; or
The first audio acquisition module is arranged at a first position of the first body, the third audio acquisition module is arranged at a third position of the first body, the third position is located in the output direction of the first audio output module, and the first position is different from the third position.
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