CN113259797A - Noise reduction circuit, noise reduction method and earphone - Google Patents
Noise reduction circuit, noise reduction method and earphone Download PDFInfo
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- CN113259797A CN113259797A CN202110368397.XA CN202110368397A CN113259797A CN 113259797 A CN113259797 A CN 113259797A CN 202110368397 A CN202110368397 A CN 202110368397A CN 113259797 A CN113259797 A CN 113259797A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1083—Reduction of ambient noise
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R3/00—Circuits for transducers, loudspeakers or microphones
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Abstract
The application discloses noise reduction circuit, noise reduction method and earphone relates to the technical field of acoustics, wherein the circuit is applied to the earphone and comprises a feedforward microphone, a feedback microphone, a high-pass filter, a feedforward filter, a feedback filter, a loudspeaker and a processing module, wherein: the first input end of the processing module is connected with the output end of the feedforward microphone, the second input end of the processing module is connected with the output end of the feedback microphone, the first output end of the processing module is connected with the input end of the high-pass filter, and the second output end of the processing module is connected with the input end of the feedforward filter; the output end of the high-pass filter is connected with the input end of the feedforward filter; the output end of the feedforward filter and the output end of the feedback filter are respectively connected with the loudspeaker; the input of the feedback microphone is connected to the input of the feedback filter. The method and the device can realize accurate processing of wind noise.
Description
Technical Field
The present application relates to the field of acoustic technology, and more particularly, to a noise reduction circuit, an earphone, a noise reduction method, a noise reduction apparatus, and a computer-readable storage medium.
Background
In recent years, noise reduction earphones have seen explosive growth, and hybrid noise reduction schemes have become standard configurations for noise reduction earphones to achieve noise reduction functions.
In the hybrid noise reduction scheme, an important factor needs to be considered when accurately reducing the wind noise to become a noise reduction earphone. Therefore, how to accurately process the wind noise becomes a technical problem to be solved urgently.
Disclosure of Invention
It is an object of the present application to provide a new solution for noise reduction.
According to a first aspect of the present application, there is provided a noise reduction circuit applied to an earphone, including a feedforward microphone, a feedback microphone, a high-pass filter, a feedforward filter, a feedback filter, a speaker, and the processing module, wherein:
the first input end of the processing module is connected with the output end of the feedforward microphone, the second input end of the processing module is connected with the output end of the feedback microphone, the first output end of the processing module is connected with the input end of the high-pass filter, and the second output end of the processing module is connected with the input end of the feedforward filter;
the output end of the high-pass filter is connected with the input end of the feedforward filter;
the output end of the feedforward filter and the output end of the feedback filter are respectively connected with the horn;
the input end of the feedback microphone is connected with the input end of the feedback filter;
the processing module determines whether a wind noise signal is included in the feedforward microphone signal according to the feedforward microphone signal collected by the feedforward microphone and the feedback microphone signal collected by the feedback microphone; when included, the processing module inputs the feedforward microphone signal to the high-pass filter, so that the high-pass filter filters a wind noise signal in the feedforward microphone signal and inputs the wind noise signal to the feedforward filter.
Optionally, when the processing module determines that the feedforward microphone signal does not include a wind noise signal according to the feedforward microphone signal collected by the feedforward microphone and the feedback microphone signal collected by the feedback microphone, the processing module inputs the feedforward microphone signal to the feedforward filter.
Optionally, the processing module includes a first processing unit and a second processing unit, wherein:
the input end of the first processing unit is connected with the input end of the feedforward microphone, and the output end of the first processing unit is connected with the first input end of the second processing unit;
a second input end of the second processing unit is connected with an output end of the feedback microphone, a first output end of the second processing unit is connected with an input end of the high-pass filter, and a second output end of the second processing unit is connected with an input end of the feedforward filter;
the first processing unit determines whether a target wind noise signal is included in the feedforward microphone signal according to prestored different types of prestored wind noise signals, and if the target wind noise signal and the feedforward microphone signal are included, the target wind noise signal and the feedforward microphone signal are input to the second processing unit, and if the target wind noise signal and the feedforward microphone signal are not included, the feedforward microphone signal is input to the second processing unit, and the target wind noise signal is one of the prestored wind noise signals which is matched with a noise signal included in the feedforward microphone signal;
the second processing unit filters a noise signal matched with the target wind noise signal in the feedforward microphone signal according to the target wind noise signal under the condition that the target wind noise signal and the feedforward microphone signal are received, and sends the filtered feedforward microphone signal to the feedforward filter; and triggering whether the feedforward microphone signal comprises a wind noise signal or not according to the feedforward microphone signal collected by the feedforward microphone and the feedback microphone signal collected by the feedback microphone under the condition that the feedforward microphone signal is received.
Optionally, the determining, by the processing module, whether the feedforward microphone signal includes a wind noise signal according to the feedforward microphone signal collected by the feedforward microphone and the feedback microphone signal collected by the feedback microphone includes:
the processing module calculates a correlation value between a feedforward microphone signal collected by the feedforward microphone and a feedback microphone signal collected by the feedback microphone;
determining that a wind noise signal is not included in the feedforward microphone signal if the correlation value is greater than or equal to a preset threshold value;
and determining that the feedforward microphone signal comprises a wind noise signal under the condition that the correlation value is smaller than the preset threshold value.
Optionally, the second processing unit is a digital signal processing unit.
According to a second aspect of the application, there is provided a headset comprising a noise reduction circuit as defined in any one of the first aspects.
According to a third aspect of the present application, there is provided a noise reduction method applied to the earphone according to the second aspect, including:
acquiring a feedforward microphone signal acquired by a feedforward microphone and a feedback microphone signal acquired by a feedback microphone;
determining whether a wind noise signal is included in the feedforward microphone signal according to the feedforward microphone signal and the feedback microphone signal;
and if so, inputting the feedforward microphone signal to a high-pass filter, so that the high-pass filter filters the wind noise signal in the feedforward microphone signal and inputs the wind noise signal to the feedforward filter.
Optionally, the method further includes:
without being included, the feedforward microphone signal is input to the feedforward filter.
Optionally, before the determining whether the feedforward microphone signal includes wind noise according to the feedforward microphone signal and the feedback microphone signal, the method includes:
determining whether the feedforward microphone signal comprises a target wind noise signal or not according to prestored different types of prestored wind noise signals, wherein the target wind noise signal is one of the prestored wind noise signals which is matched with a noise signal contained in the feedforward microphone signal;
if so, filtering noise in the feedforward microphone signal matched with the target wind noise signal according to the target wind noise signal, and inputting the filtered feedforward microphone signal to the feedforward filter;
if not included, triggering the step of determining whether a wind noise signal is included in the feedforward microphone signal based on the feedforward microphone signal and the feedback microphone signal.
Optionally, the determining whether the feedforward microphone signal includes a wind noise signal according to the feedforward microphone signal and the feedback microphone signal includes:
calculating a correlation value of the feedforward microphone signal and the feedback microphone signal;
determining that a wind noise signal is not included in the feedforward microphone signal if the correlation value is greater than or equal to a preset threshold value;
and determining that the feedforward microphone signal comprises a wind noise signal under the condition that the correlation value is smaller than the preset threshold value.
According to a fourth aspect of the present application, there is provided a noise reducing device, the device comprising:
the acquisition module is used for acquiring feedforward microphone signals acquired by a feedforward microphone and feedback microphone signals acquired by a feedback microphone;
a determining module, configured to determine whether a wind noise signal is included in the feedforward microphone signal according to the feedforward microphone signal and the feedback microphone signal;
and the input module is used for inputting the feedforward microphone signal to a high-pass filter under the condition that the feedforward microphone signal is determined to be included, so that the high-pass filter filters a wind noise signal in the feedforward microphone signal and inputs the wind noise signal to the feedforward filter.
According to a fifth aspect of the present application, there is provided another headset characterized by comprising a feedforward microphone, a feedback microphone, a high-pass filter, a feedforward filter, a feedback filter, a loudspeaker and the apparatus of the fourth aspect;
or, a feedforward microphone, a feedback microphone, a high-pass filter, a feedforward filter, a feedback filter, a loudspeaker, a memory for storing computer instructions, and a processor for retrieving the computer instructions from the memory to perform the method of any of the third aspects.
According to a sixth aspect of the present application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method according to any one of the third aspects.
In an embodiment of the present application, there is provided a noise reduction circuit applied to an earphone, including a feedforward microphone, a feedback microphone, a high-pass filter, a feedforward filter, a feedback filter, a speaker, and a processing module, wherein: the first input end of the processing module is connected with the output end of the feedforward microphone, the second input end of the processing module is connected with the output end of the feedback microphone, the first output end of the processing module is connected with the input end of the high-pass filter, and the second output end of the processing module is connected with the input end of the feedforward filter; the output end of the high-pass filter is connected with the input end of the feedforward filter; the output end of the feedforward filter and the output end of the feedback filter are respectively connected with the loudspeaker; the input of the feedback microphone is connected to the input of the feedback filter. On the basis, the processing module can determine whether the feedforward microphone signal comprises a wind noise signal according to the feedforward microphone signal collected by the feedforward microphone and the feedback microphone signal collected by the feedback microphone. Where included, the processing module inputs the feedforward microphone signal into a high-pass filter to filter out wind noise signals in the feedforward microphone signal by the high-pass filter. Further, the high-pass filter inputs the feedforward microphone signal obtained after the wind noise signal is filtered into the feedforward filter, so that other noise signals except the wind noise signal in the feedforward microphone signal are filtered by the feedforward filter. Therefore, as the signals to be filtered by the feedforward filter do not comprise the wind noise signals any more, equivalent and opposite-phase wind noise signals cannot be generated and played by the loudspeaker to the ears of a person wearing the earphone, and the wind noise can be accurately processed.
Further features of the present application and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which is to be read in connection with the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic structural diagram of a noise reduction circuit provided in an embodiment of the present application;
FIG. 2 is a schematic structural diagram of another noise reduction circuit provided in an embodiment of the present application;
FIG. 3 is a schematic frequency spectrum diagram of a feedforward microphone signal and a feedback microphone signal without including a wind noise signal in an external environment according to an embodiment of the present application;
fig. 4 is a schematic flowchart of a noise reduction method provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a noise reduction device according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an earphone according to an embodiment of the present application.
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
In the embodiment of the present application, the applicant finds that the existing noise reduction earphone cannot accurately process wind noise because: the wind noise signal is generated by eddy currents formed by wind blowing at the edge of the earphone or at the microphone inlet hole of the earphone, so that the wind noise signal can only be picked up by the feedforward microphone of the hybrid noise reduction earphone, but not by the ear of the person wearing the noise reduction earphone. Thus, on the basis that the feedforward filter carries out noise reduction on wind noise collected by the feedforward microphone and outputs a feedforward microphone signal subjected to noise reduction to the loudspeaker, and the loudspeaker in the noise reduction earphone sends out equivalent and opposite-phase wind noise signals, the human ear can pick up the redundant equivalent and opposite-phase wind noise signals. In order to solve the problem, the present application provides a noise reduction circuit, an earphone, a noise reduction method, and the like as follows.
< circuit embodiment >
The embodiment of the application provides a noise reduction circuit 10, and the noise reduction circuit 10 is applied to an earphone. As shown in fig. 1, the noise reduction circuit 10 includes a feedforward microphone 101, a feedback microphone 102, a high-pass filter 103, a feedforward filter 104, a feedback filter 105, a speaker 106, and a processing module 107. Wherein:
a first input end of the processing module 107 is connected with an output end of the feedforward microphone 101, a second input end of the processing module 107 is connected with an output end of the feedback microphone 102, a first output end of the processing module 107 is connected with an input end of the high-pass filter 103, and a second output end of the processing module 107 is connected with an input end of the feedforward filter 104; the output end of the high-pass filter 103 is connected with the input end of the feedforward filter 104; the output end of the feedforward filter 104 and the output end of the feedback filter 105 are respectively connected with a loudspeaker 106; an input of the feedback microphone 102 is connected to an input of a feedback filter 105.
The processing module 107 determines whether the feedforward microphone signal includes a wind noise signal according to the feedforward microphone signal collected by the feedforward microphone 101 and the feedback microphone signal collected by the feedback microphone 102. If included, the processing module 107 inputs the feedforward microphone signal to the high-pass filter 103, so that the high-pass filter 103 filters the wind noise signal in the feedforward microphone signal and inputs the wind noise signal to the feedforward filter.
In the embodiments of the present application, the applicant found that, since the wind noise signal is generated by the eddy current generated by the wind blowing on the edge of the earphone or the microphone inlet hole of the earphone, the wind noise signal can be picked up only by the feedforward microphone of the earphone, but not by the ear of the person wearing the earphone, i.e. the feedback microphone in the earphone will not pick up the wind noise signal. On the basis, if the wind noise signal exists in the external environment, the correlation between the wind noise signal collected by the feedforward microphone of the earphone and the wind noise signal collected by the feedback microphone of the earphone is low.
Based on the above, the processing module 107 determines whether the feedforward microphone signal includes the wind noise signal according to the correlation between the feedforward microphone signal collected by the feedforward microphone 101 and the feedback microphone signal collected by the feedback microphone 102.
Further, in the case that the processing module 107 determines that the feedforward microphone signal includes a wind noise signal, the processing module 107 inputs the feedforward microphone signal collected by the feedforward microphone 101 into the high-pass filter 103. The high pass filter 103 filters out low frequency signals in the feedforward microphone signal when the feedforward microphone signal is received. Since most of the energy of the wind noise signal is concentrated at low frequencies, the high pass filter 103 may filter out the wind noise signal in the feedforward microphone signal on the basis that the high pass filter 103 filters out the low frequency signal in the feedforward microphone signal. Then, the high-pass filter 103 inputs the feedforward microphone signal obtained by filtering the wind noise signal to the feedforward filter.
The feedforward filter performs feedforward filtering on the feedforward microphone signal obtained after filtering the wind noise signal to filter out other noise signals (such as the speaking voice of a nearby person) in the feedforward microphone signal obtained after filtering the wind noise signal, and outputs the noise signal to the loudspeaker 106. Meanwhile, the feedback filter 105 receives the feedback microphone signal and performs feedback filtering on the noise signal in the feedback microphone signal to filter the noise signal in the feedback microphone signal and output the noise signal to the speaker 106.
Correspondingly, when the processing module 107 determines that the feedforward microphone signal does not include the wind noise signal according to the feedforward microphone signal collected by the feedforward microphone 101 and the feedback microphone signal collected by the feedback microphone 102, the processing module 107 inputs the feedforward microphone signal to the feedforward filter 104. In this case, the feedforward microphone signal is feedforward filtered by a feedforward filter to filter out other noise signals in the feedforward microphone signal and output to the loudspeaker 106. Meanwhile, the feedback filter 105 receives the feedback microphone signal and performs feedback filtering on the noise signal in the feedback microphone signal to filter the noise signal in the feedback microphone signal and output the noise signal to the speaker 106. I.e. in case no wind noise signal is included in the feed-forward microphone signal, a conventional hybrid noise reduction is performed.
In an embodiment of the present application, there is provided a noise reduction circuit applied to an earphone, including a feedforward microphone, a feedback microphone, a high-pass filter, a feedforward filter, a feedback filter, a speaker, and a processing module, wherein: the first input end of the processing module is connected with the output end of the feedforward microphone, the second input end of the processing module is connected with the output end of the feedback microphone, the first output end of the processing module is connected with the input end of the high-pass filter, and the second output end of the processing module is connected with the input end of the feedforward filter; the output end of the high-pass filter is connected with the input end of the feedforward filter; the output end of the feedforward filter and the output end of the feedback filter are respectively connected with the loudspeaker; the input of the feedback microphone is connected to the input of the feedback filter. On the basis, the processing module can determine whether the feedforward microphone signal comprises a wind noise signal according to the feedforward microphone signal collected by the feedforward microphone and the feedback microphone signal collected by the feedback microphone. Where included, the processing module inputs the feedforward microphone signal into a high-pass filter to filter out wind noise signals in the feedforward microphone signal by the high-pass filter. Further, the high-pass filter inputs the feedforward microphone signal obtained after the wind noise signal is filtered into the feedforward filter, so that other noise signals except the wind noise signal in the feedforward microphone signal are filtered by the feedforward filter. Therefore, as the signals to be filtered by the feedforward filter do not comprise the wind noise signals any more, equivalent and opposite-phase wind noise signals cannot be generated and played by the loudspeaker to the ears of a person wearing the earphone, and the wind noise can be accurately processed.
In one embodiment of the present application, as shown in fig. 2, the processing module 107 includes a first processing unit 1071 and a second processing unit 1072. Wherein:
the input end of the first processing unit 1071 is connected with the input end of the feedforward microphone 101, and the output end of the first processing unit 1071 is connected with the first input end of the second processing unit 1072; a second input of the second processing unit 1072 is connected to the output of the feedback microphone 102, a first output of the second processing unit 1072 is connected to the input of the high pass filter 103, and a second output of the second processing unit 1072 is connected to the input of the feedforward filter 104.
The first processing unit 1071 determines whether the feedforward microphone signal includes a target wind noise signal according to different types of prestored wind noise signals, and if so, sends the target wind noise signal and the feedforward microphone signal to the second processing unit 1072. And, if not included, sends the feed-forward microphone signal to the second processing unit 1072. The target wind noise signal is a pre-stored wind noise signal which is matched with a noise signal included in the feedforward microphone signal in the pre-stored wind noise signals.
The second processing module 1072, upon receiving the target wind noise signal and the feedforward microphone signal, filters a noise signal matching the target wind noise signal from the feedforward microphone signal according to the target wind noise signal, and sends the filtered feedforward microphone signal to the feedforward filter 104. And a step of triggering, when the feedforward microphone signal is received, whether the feedforward microphone signal includes a wind noise signal or not, based on the feedforward microphone signal collected by the feedforward microphone 101 and the feedback microphone signal collected by the feedback microphone 102.
In the embodiment of the present application, the first processing unit 1071 stores a plurality of different types of wind noise signals in advance, and the different types of wind noise signals are acquired in advance. In the embodiment of the present application, a plurality of different types of wind noise signals stored in advance are recorded as pre-stored wind noise signals. The first processing unit 1071 performs matching processing on the feedforward microphone signal according to the different types of pre-stored wind noise signals to match whether one of the different types of pre-stored wind noise signals is included in the feedforward microphone signal. If not included, only the feed-forward microphone signal is sent to the second processing unit 1072. In the case of inclusion, one of different types of pre-stored wind noise signals included in the feedforward microphone signal is registered as a target wind noise signal, and the target wind noise signal and the feedforward microphone signal are transmitted to the second processing unit 1072.
The second processing module 1072, upon receiving the target wind noise signal and the feedforward microphone signal, performs filtering on the target wind noise signal in the feedforward microphone signal according to the signal characteristics of the target wind noise signal. In this way, the second processing module 1072 can filter out the wind noise signal. Further, the second processing module 1072 inputs the feedforward microphone signal after filtering the target wind noise signal to the feedforward filter 104, and the feedforward filter 104 filters out other noise signals in the feedforward microphone signal after filtering the target wind noise signal.
The second processing module 107, in case of receiving only the feedforward microphone signal, indicates that the feedforward microphone signal does not include the pre-stored wind noise signal of different type. Since different types of pre-stored wind noise signals cannot cover all wind noise signals, the second processing module 107 further determines whether the feedforward microphone signal includes the wind noise signal according to the feedforward microphone signal and the feedback microphone signal.
In one embodiment, the second Processing unit 1072 may be a Digital Signal Processing unit (DSP).
In one embodiment, the processing module 107 determines whether the feedforward microphone signal includes a wind noise signal according to the feedforward microphone signal collected by the feedforward microphone 101 and the feedback microphone signal collected by the feedback microphone 102, which may be implemented by the following steps S101 to S103:
s101, a processing module calculates a correlation value between a feedforward microphone signal collected by a feedforward microphone and a feedback microphone signal collected by a feedback microphone.
In an embodiment, the foregoing S101 may be specifically implemented by the following formula:
wherein D represents a correlation value between the feedforward microphone signal collected by the feedforward microphone 101 and the feedback microphone signal collected by the feedback microphone 102;
n represents the number of frequency points before 100Hz, and the specific value of n can be 100, 75, 50 and 25, it should be noted that the specific value of n is not limited in the present application;
k represents the frequency point serial number, and the values are 1 to n in sequence;
aKthe energy of the feedforward microphone signal collected by the feedforward microphone 101 at the Kth frequency point is shown;
bKthe energy of the feedback microphone signal collected by the feedback microphone 101 at the K-th frequency point is shown.
It should be noted that the above formula is to calculate the correlation value of the feedforward microphone signal and the feedback microphone signal at 100Hz, because: as shown in fig. 3, in the case where no wind noise signal is included in the external environment, the feedforward microphone signal collected by the feedforward microphone 101 and the feedback microphone signal collected by the feedback microphone 102 are substantially the same before 100Hz, i.e., the correlation value between the two signals is large. While most of the energy of the wind noise signal is concentrated at low frequencies. Therefore, the correlation value of the feedforward microphone signal and the feedback microphone signal at 100Hz is calculated, and whether the feedforward microphone signal comprises the wind noise signal or not can be accurately determined.
And S102, determining that the feedforward microphone signal does not include a wind noise signal under the condition that the correlation value is larger than or equal to a preset threshold value.
S103, determining that the feedforward microphone signal comprises a wind noise signal under the condition that the correlation value is smaller than a preset threshold value.
In the embodiment of the present application, in the case that the correlation value is greater than or equal to the preset threshold value, it indicates that the correlation between the feedforward microphone signal and the feedback microphone signal is high, i.e., the feedforward microphone signal does not include the wind noise signal. Conversely, when the correlation value is smaller than the preset threshold value, it indicates that the correlation between the feedforward microphone signal and the feedback microphone signal is low, i.e., the feedforward microphone signal includes a wind noise signal.
It should be noted that other correlation calculation methods can be used to calculate the correlation value between the feedforward microphone signal and the feedback microphone signal.
< first embodiment of the apparatus >
Embodiments of the present application further provide a headset including any one of the noise reduction circuits provided in the above circuit embodiments.
< method examples >
The embodiment of the application also provides a noise reduction method, and the noise reduction method is applied to the earphone provided by the first equipment embodiment.
As shown in fig. 4, the noise reduction method provided in the embodiment of the present application includes the following steps S401 to S403:
s401, acquiring a feedforward microphone signal acquired by a feedforward microphone and a feedback microphone signal acquired by a feedback microphone.
S402, determining whether the feedforward microphone signal comprises a wind noise signal according to the feedforward microphone signal and the feedback microphone signal.
And S403, if the wind noise is included, inputting the feedforward microphone signal to a high-pass filter, filtering a wind noise signal in the feedforward microphone signal by the high-pass filter, and inputting the wind noise signal to the feedforward filter.
In the embodiment of the application, the feedforward microphone signal collected by the feedforward microphone and the feedback microphone signal collected by the feedback microphone are obtained; determining whether the feedforward microphone signal comprises a wind noise signal according to the feedforward microphone signal and the feedback microphone signal; in the included case, the feedforward microphone signal is input to the high-pass filter, so that the wind noise signal in the feedforward microphone signal is filtered by the high-pass filter and input to the feedforward filter. Thus, since the signals to be filtered by the feedforward filter do not include the wind noise signals, the equivalent and opposite-phase wind noise signals are not generated to be played by the loudspeaker to the ear of the person wearing the earphone. The problem that the earphone cannot accurately process the wind noise signal is solved, and therefore the hearing experience of a user is improved.
In an embodiment of the present application, the noise reduction method provided in the embodiment of the present application includes the following S404:
s404, if not included, inputting the feedforward microphone signal to the feedforward filter.
In an embodiment of the present application, before the foregoing S402, the noise reduction method provided in the embodiment of the present application further includes the following S4021 to S4023:
s4021, determining whether the feedforward microphone signal comprises a target wind noise signal according to prestored different types of prestored wind noise signals, wherein the target wind noise signal is one of the prestored wind noise signals matched with a noise signal contained in the feedforward microphone signal.
S4022, filtering noise matched with the target wind noise signal in the feedforward microphone signal according to the target wind noise signal under the condition of including, and sending the filtered feedforward microphone signal to the feedforward filter.
S4023, if not, triggering the step of determining whether the feedforward microphone signal includes a wind noise signal according to the feedforward microphone signal and the feedback microphone signal.
In an embodiment of the present application, S402 described above may be implemented by S4024 to S4026 as follows:
s4024, calculating a correlation value of the feedforward microphone signal and the feedback microphone signal.
S4025, determining that the feedforward microphone signal does not include a wind noise signal when the correlation value is larger than or equal to a preset threshold value.
S4026, determining that the feedforward microphone signal comprises a wind noise signal under the condition that the correlation value is smaller than the preset threshold value.
In the embodiment of the present application, the specific implementation of each step is the same as the specific implementation of the processing module 107 in the above circuit embodiment, and is not described here again.
< apparatus embodiment >
The embodiment of the present application further provides a noise reduction apparatus 500, as shown in fig. 5, the noise reduction apparatus 500 includes an obtaining module 510, a determining module 520, and an input module 530. Wherein:
the obtaining module 510 is configured to obtain a feedforward microphone signal collected by a feedforward microphone and a feedback microphone signal collected by a feedback microphone.
The determining module 520 is configured to determine whether a wind noise signal is included in the feedforward microphone signal according to the feedforward microphone signal and the feedback microphone signal.
The input module 530 is configured to input the feedforward microphone signal to a high-pass filter if the feedforward microphone signal is determined to be included, so that the high-pass filter filters a wind noise signal in the feedforward microphone signal and inputs the wind noise signal to the feedforward filter.
In one embodiment of the present application, the input module 530 is further configured to input the feedforward microphone signal to the feedforward filter if not included.
In an embodiment of the present application, the determining module 520 is further configured to determine whether the feedforward microphone signal includes a target wind noise signal according to different pre-stored wind noise signals, where the target wind noise signal is one of the pre-stored wind noise signals that matches a noise signal included in the feedforward microphone signal.
The input module 530 is further configured to, if included, filter noise in the feedforward microphone signal that matches the target wind noise signal according to the target wind noise signal, and input the filtered feedforward microphone signal to the feedforward filter.
In this embodiment, the noise reduction apparatus 500 provided in this embodiment of the present application further includes a triggering module, where the triggering module is configured to trigger the step of determining whether the feedforward microphone signal includes a wind noise signal according to the feedforward microphone signal and the feedback microphone signal, if not included.
In one embodiment of the present application, the determination module 520 includes a calculation unit and a determination unit. Wherein:
the calculation unit is configured to calculate a correlation value of the feedforward microphone signal and the feedback microphone signal.
The determining unit is used for determining that the feedforward microphone signal does not include a wind noise signal under the condition that the correlation value is larger than or equal to a preset threshold value; and determining that the feedforward microphone signal comprises a wind noise signal under the condition that the correlation value is smaller than the preset threshold value.
< apparatus embodiment >
The present embodiments provide another headset that includes a feedforward microphone, a feedback microphone, a high-pass filter, a feedforward filter, a feedback filter, a loudspeaker, and an apparatus as described in the apparatus embodiments above.
Alternatively, as shown in fig. 6, the headset comprises a feedforward microphone 101, a feedback microphone 102, a high-pass filter 103, a feedforward filter 104, a feedback filter 105, a loudspeaker 106, a memory 601 and a processor 602, wherein the memory 601 is used for storing computer instructions, and the processor 603 is used for calling the computer instructions from the memory 601 to execute the method according to any one of the above method embodiments.
< storage Medium embodiment >
Embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a method according to any one of the method embodiments provided above.
The present application may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present application.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present application may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry can execute computer-readable program instructions to implement aspects of the present application by utilizing state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present application are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the application is defined by the appended claims.
Claims (10)
1. A noise reduction circuit applied to earphones comprises a feedforward microphone, a feedback microphone, a high-pass filter, a feedforward filter, a feedback filter, a loudspeaker and a processing module, wherein:
the first input end of the processing module is connected with the output end of the feedforward microphone, the second input end of the processing module is connected with the output end of the feedback microphone, the first output end of the processing module is connected with the input end of the high-pass filter, and the second output end of the processing module is connected with the input end of the feedforward filter;
the output end of the high-pass filter is connected with the input end of the feedforward filter;
the output end of the feedforward filter and the output end of the feedback filter are respectively connected with the horn;
the input end of the feedback microphone is connected with the input end of the feedback filter;
the processing module determines whether a wind noise signal is included in the feedforward microphone signal according to the feedforward microphone signal collected by the feedforward microphone and the feedback microphone signal collected by the feedback microphone; when included, the processing module inputs the feedforward microphone signal to the high-pass filter, so that the high-pass filter filters a wind noise signal in the feedforward microphone signal and inputs the wind noise signal to the feedforward filter.
2. The circuit of claim 1, wherein the processing module comprises a first processing unit and a second processing unit, wherein:
the input end of the first processing unit is connected with the input end of the feedforward microphone, and the output end of the first processing unit is connected with the first input end of the second processing unit;
a second input end of the second processing unit is connected with an output end of the feedback microphone, a first output end of the second processing unit is connected with an input end of the high-pass filter, and a second output end of the second processing unit is connected with an input end of the feedforward filter;
the first processing unit determines whether a target wind noise signal is included in the feedforward microphone signal according to prestored different types of prestored wind noise signals, and if the target wind noise signal and the feedforward microphone signal are included, the target wind noise signal and the feedforward microphone signal are input to the second processing unit, and if the target wind noise signal and the feedforward microphone signal are not included, the feedforward microphone signal is input to the second processing unit, and the target wind noise signal is one of the prestored wind noise signals which is matched with a noise signal included in the feedforward microphone signal;
the second processing unit filters a noise signal matched with the target wind noise signal in the feedforward microphone signal according to the target wind noise signal under the condition that the target wind noise signal and the feedforward microphone signal are received, and sends the filtered feedforward microphone signal to the feedforward filter; and triggering whether the feedforward microphone signal comprises a wind noise signal or not according to the feedforward microphone signal collected by the feedforward microphone and the feedback microphone signal collected by the feedback microphone under the condition that the feedforward microphone signal is received.
3. The circuit of claim 1, wherein the processing module determines whether the feedforward microphone signal includes a wind noise signal according to the feedforward microphone signal collected by the feedforward microphone and the feedback microphone signal collected by the feedback microphone, and comprises:
the processing module calculates a correlation value between a feedforward microphone signal collected by the feedforward microphone and a feedback microphone signal collected by the feedback microphone;
determining that a wind noise signal is not included in the feedforward microphone signal if the correlation value is greater than or equal to a preset threshold value;
and determining that the feedforward microphone signal comprises a wind noise signal under the condition that the correlation value is smaller than the preset threshold value.
4. A headset characterized by comprising a noise reduction circuit according to any of claims 1-3.
5. A noise reduction method applied to the headphone according to claim 4, comprising:
acquiring a feedforward microphone signal acquired by a feedforward microphone and a feedback microphone signal acquired by a feedback microphone;
determining whether a wind noise signal is included in the feedforward microphone signal according to the feedforward microphone signal and the feedback microphone signal;
and if so, inputting the feedforward microphone signal to a high-pass filter, so that the high-pass filter filters the wind noise signal in the feedforward microphone signal and inputs the wind noise signal to the feedforward filter.
6. The method of claim 5, wherein prior to said determining whether wind noise is included in the feedforward microphone signal from the feedforward microphone signal and the feedback microphone signal, the method comprises:
determining whether the feedforward microphone signal comprises a target wind noise signal or not according to prestored different types of prestored wind noise signals, wherein the target wind noise signal is one of the prestored wind noise signals which is matched with a noise signal contained in the feedforward microphone signal;
if so, filtering noise in the feedforward microphone signal matched with the target wind noise signal according to the target wind noise signal, and inputting the filtered feedforward microphone signal to the feedforward filter;
if not included, triggering the step of determining whether a wind noise signal is included in the feedforward microphone signal based on the feedforward microphone signal and the feedback microphone signal.
7. The method of claim 5, wherein determining whether a wind noise signal is included in the feedforward microphone signal based on the feedforward microphone signal and the feedback microphone signal comprises:
calculating a correlation value of the feedforward microphone signal and the feedback microphone signal;
determining that a wind noise signal is not included in the feedforward microphone signal if the correlation value is greater than or equal to a preset threshold value;
and determining that the feedforward microphone signal comprises a wind noise signal under the condition that the correlation value is smaller than the preset threshold value.
8. A noise reducing device, the device comprising:
the acquisition module is used for acquiring feedforward microphone signals acquired by a feedforward microphone and feedback microphone signals acquired by a feedback microphone;
a determining module, configured to determine whether a wind noise signal is included in the feedforward microphone signal according to the feedforward microphone signal and the feedback microphone signal;
and the input module is used for inputting the feedforward microphone signal to a high-pass filter under the condition that the feedforward microphone signal is determined to be included, so that the high-pass filter filters a wind noise signal in the feedforward microphone signal and inputs the wind noise signal to the feedforward filter.
9. An earphone comprising a feedforward microphone, a feedback microphone, a high-pass filter, a feedforward filter, a feedback filter, a loudspeaker, and the apparatus of claim 8;
or, a feedforward microphone, a feedback microphone, a high-pass filter, a feedforward filter, a feedback filter, a loudspeaker, a memory for storing computer instructions, and a processor for retrieving the computer instructions from the memory to perform the method of any of claims 5-7.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the method according to any one of claims 5-7.
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