CN116634332A - Microphone noise reduction processing method and computer storage medium - Google Patents

Abstract

The embodiment of the present application discloses a microphone noise reduction processing method and a computer storage medium, which are applied to electronic equipment, and the electronic equipment includes a microphone and an environmental sensor. The method includes: acquiring target environmental parameters through the environmental sensors; Target noise reduction processing algorithm; obtain the first noise reduction processing algorithm control parameters of the target noise reduction processing algorithm; obtain the target hardware parameters of the microphone; determine the target score value corresponding to the target hardware parameter; perform the first noise reduction processing according to the target score value Adjust the algorithm control parameters to obtain the second noise reduction processing algorithm control parameters; obtain the first audio file through the microphone; perform noise reduction processing on the first audio file based on the target noise reduction processing algorithm and the second noise reduction processing algorithm control parameters, and obtain the second audio file. The noise reduction capability of the microphone can be improved by adopting the embodiments of the present application.

Description

Microphone noise reduction processing method and computer storage medium

technical field

The present application relates to the field of electronic technology, and in particular to a microphone noise reduction processing method and a computer storage medium.

Background technique

In practical application, the microphone is transmitted from the vibration of sound to the diaphragm of the microphone. The electromagnetic coil winding on the diaphragm and the magnet surrounding the moving coil head form a magnetic field cutting, forming a weak fluctuating current. However, in the process of sound amplification, the noise will also be amplified. Therefore, the problem of how to improve the noise reduction ability of the microphone needs to be solved urgently.

Contents of the invention

Embodiments of the present application provide a microphone noise reduction processing method and a computer storage medium, which help to improve the noise reduction capability of the microphone.

In the first aspect, an embodiment of the present application provides a microphone noise reduction processing method, where the electronic device includes a microphone and an environmental sensor, and the method includes:

Obtaining target environmental parameters through the environmental sensor;

determining a target noise reduction processing algorithm corresponding to the target environment parameter;

Acquiring a first noise reduction processing algorithm control parameter of the target noise reduction processing algorithm;

Acquiring target hardware parameters of the microphone;

determining a target score value corresponding to the target hardware parameter;

adjusting the control parameters of the first noise reduction processing algorithm according to the target score value to obtain the control parameters of the second noise reduction processing algorithm;

Obtain the first audio file;

Perform noise reduction processing on the first audio file based on the target noise reduction processing algorithm and the control parameters of the second noise reduction processing algorithm to obtain a second audio file.

In a second aspect, an embodiment of the present application provides a computer-readable storage medium, which is characterized by storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method as described in the first aspect.

Implementing the embodiment of the present application has the following beneficial effects:

It can be seen that the microphone noise reduction processing method and computer storage medium described in the embodiments of the present application are applied to electronic equipment, and the electronic equipment includes a microphone and an environmental sensor. The target environmental parameters are obtained through the environmental sensors, and the corresponding target environmental parameters are determined. The target noise reduction processing algorithm obtains the first noise reduction processing algorithm control parameters of the target noise reduction processing algorithm, obtains the target hardware parameters of the microphone, determines the target score value corresponding to the target hardware parameter, and performs the first noise reduction processing according to the target score value. The algorithm control parameters are adjusted to obtain the second noise reduction processing algorithm control parameters, the first audio file is obtained through the microphone, and the first audio file is subjected to noise reduction processing based on the target noise reduction processing algorithm and the second noise reduction processing algorithm control parameters to obtain For the second audio file, because the target noise reduction processing algorithm adapts to the external environment, the control parameters of the second noise reduction processing algorithm adapt to the hardware environment, and then the noise reduction effect is more in line with the actual environment and hardware environment, which helps to improve the noise reduction processing effect , to improve the noise reduction capability of the microphone.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present application. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1 is a schematic flowchart of a microphone noise reduction processing method provided by an embodiment of the present application;

FIG. 2 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;

Fig. 3 is a block diagram of functional units of a microphone noise reduction processing device provided by an embodiment of the present application.

Detailed ways

In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

The terms "first", "second" and the like in the description and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or devices.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

In the embodiment of the present application, the electronic device can be any device including a microphone, and the electronic device can include at least one of the following: smart phones (such as Android phones, iOS phones, Windows Phone phones, etc.), tablet computers, palmtop computers, driving records Instruments, servers, laptops, mobile Internet devices (MID, Mobile Internet Devices) or wearable devices (such as smart watches, Bluetooth headsets), etc., the above are just examples, not exhaustive, including but not limited to the above-mentioned electronic devices.

The following describes the embodiments of the present application in detail.

Please refer to FIG. 1. FIG. 1 is a schematic flowchart of a microphone noise reduction processing method provided in an embodiment of the present application. The electronic device includes a microphone and an environmental sensor, and the method includes:

101. Acquire a target environment parameter by using the environment sensor.

In this embodiment of the present application, the target environment parameter may include at least one of the following: target environment noise parameter, target magnetic field interference intensity value, number of target environment noise types, etc., which are not limited herein.

In a specific implementation, the environment sensor may be used to detect an environment parameter, and the environment sensor may include at least one of the following: a noise detection sensor, a magnetic field detection sensor, etc., which are not limited herein.

102. Determine a target noise reduction processing algorithm corresponding to the target environment parameter.

In the embodiment of the present application, the mapping relationship between the preset environmental parameters and the noise reduction processing algorithm may be preset, and further, the target noise reduction processing algorithm corresponding to the target environmental parameter may be determined based on the mapping relationship.

Optionally, when the target environment parameters include target environment noise parameters;

Then the above step 102, determining the target noise reduction processing algorithm corresponding to the target environment parameter, may include the following steps:

21. Determine the target environmental noise level corresponding to the target environmental noise parameter;

22. Determine the target noise reduction processing algorithm corresponding to the target environmental noise level.

In a specific implementation, the mapping relationship between the preset environmental noise parameters and the environmental noise level can be set in advance, and then the target environmental noise level corresponding to the target environmental noise parameter can be determined based on the mapping relationship, and the preset environmental noise level can also be preset. The mapping relationship between the noise level and the noise reduction processing algorithm determines the target noise reduction processing algorithm corresponding to the target environmental noise level. In this way, the corresponding noise reduction processing algorithm can be determined based on the environmental noise, which in turn helps to improve the microphone The noise reduction ability and noise reduction effect.

103. Acquire a first noise reduction processing algorithm control parameter of the target noise reduction processing algorithm.

In specific implementation, the control parameters of the noise reduction processing algorithm are used to control the noise reduction degree of the noise reduction processing algorithm. Furthermore, a first noise reduction processing algorithm control parameter of the target noise reduction processing algorithm may be acquired, and the first noise reduction processing algorithm control parameter may be preset or defaulted by the system.

104. Acquire target hardware parameters of the microphone.

In this embodiment of the present application, the target hardware parameters may include at least one of the following: hardware model, hardware configuration parameters, etc., which are not limited herein.

105. Determine a target score value corresponding to the target hardware parameter.

In the specific implementation, different hardware parameters can correspond to different scoring values, and then, the mapping relationship between the preset hardware parameters and scoring values can be set in advance, and then, based on the mapping relationship, the target scoring corresponding to the target hardware parameter can be determined value.

Optionally, the above step 105, determining the target score value corresponding to the target hardware parameter may include the following steps:

51. Perform multiple running analyzes based on the target hardware parameters to obtain multiple reference score values;

52. Perform mean calculation according to the plurality of reference score values to obtain a target reference score value;

53. Determine the target standard deviation of the plurality of reference score values;

54. Fine-tuning the target reference score value according to the target standard deviation to obtain the target score value.

In specific implementation, multiple running analyzes can be performed based on the target hardware parameters. For example, multiple running scores can be performed based on the target hardware parameters to obtain multiple reference score values, and each run score corresponds to a reference score value.

Next, the mean value calculation can be performed according to multiple reference score values to obtain the target reference score value, and the target standard deviation of multiple reference score values can be determined. The mapping relationship between the preset standard deviation and the fine-tuning coefficient can be set in advance. Determine the target fine-tuning coefficient corresponding to the target standard deviation based on the mapping relationship, and then fine-tune the target reference score value based on the target fine-tuning coefficient to obtain the target score value. The standard deviation reflects the stability of the operation of the electronic equipment. Fine-tuning the mean value of the score values of the first run, so that the final score value is more in line with the actual hardware environment, which helps to improve the effect of noise reduction processing.

106. Adjust the control parameters of the first noise reduction processing algorithm according to the target score value to obtain the control parameters of the second noise reduction processing algorithm.

In the embodiment of the present application, the control parameters of the first noise reduction processing algorithm can be adjusted based on the target score value, so that the noise reduction effect is more in line with the hardware environment, and the control parameters of the second noise reduction processing algorithm are obtained, which helps to improve the noise reduction of the microphone. noise effect.

Optionally, the above step 106, adjusting the control parameters of the first noise reduction processing algorithm according to the target score value to obtain the control parameters of the second noise reduction processing algorithm may include the following steps:

61. Determine the adjustable algorithm control parameters and non-adjustable algorithm control parameters in the first noise reduction processing algorithm control parameters;

62. Determine a target adjustment factor corresponding to the target score value;

63. Adjust the adjustable algorithm control parameter according to the target adjustment factor to obtain the target adjustable algorithm control parameter;

64. Determine the second noise reduction processing algorithm control parameter according to the target adjustable algorithm control parameter and the non-adjustable algorithm control parameter.

In the embodiment of the present application, the first noise reduction processing algorithm control parameters may include multiple parameters, some parameters can be adjusted, and some parameters cannot be adjusted, and then, the adjustable algorithm control parameters in the first noise reduction processing algorithm control parameters can be determined and non-tunable algorithmic control parameters.

Further, the mapping relationship corresponding to the preset score value and the adjustment factor can also be set in advance, and then, based on the target adjustment factor corresponding to the target score value corresponding to the mapping relationship, and then, the adjustable algorithm control parameters can be controlled according to the target adjustment factor Adjust to obtain the target adjustable algorithm control parameters, which can make the noise reduction processing effect more in line with the hardware environment and help to improve the noise reduction effect, and then determine the second noise reduction processing according to the target adjustable algorithm control parameters and non-adjustable algorithm control parameters Algorithm control parameters, that is, to adjust the adjustable parameters in the noise reduction processing algorithm control parameters, so that the noise reduction processing effect is more in line with the hardware environment, which helps to improve the noise reduction effect.

107. Acquire a first audio file through the microphone.

In this embodiment of the present application, the first audio file may be obtained through a microphone, and the first audio file may be any sound collected by the microphone.

108. Perform noise reduction processing on the first audio file based on the target noise reduction processing algorithm and control parameters of the second noise reduction processing algorithm to obtain a second audio file.

In the embodiment of the present application, since the target noise reduction processing algorithm adapts to the external environment, the control parameters of the second noise reduction processing algorithm adapt to the hardware environment, and then, based on the target noise reduction processing algorithm and the second noise reduction processing algorithm control parameters, the first The audio file is subjected to noise reduction processing to obtain a second audio file. Furthermore, the noise reduction effect is more in line with the actual environment and the hardware environment, which helps to improve the noise reduction processing effect and the noise reduction capability of the microphone.

Optionally, in step 108 above, performing noise reduction processing on the first audio file based on the target noise reduction processing algorithm and the control parameters of the second noise reduction processing algorithm to obtain a second audio file may include the following steps:

81. Determine the target signal-to-noise ratio of the first audio file;

82. Determine a target optimization parameter corresponding to the target signal-to-noise ratio;

83. Perform optimization processing on the control parameters of the second noise reduction processing algorithm according to the target optimization parameters to obtain the control parameters of the third noise reduction processing algorithm;

84. Perform noise reduction processing on the first audio file according to the target noise reduction processing algorithm and control parameters of the third noise reduction processing algorithm to obtain the second audio file.

In the embodiment of the present application, the target signal-to-noise ratio of the first audio file can be determined, and then, the target optimization parameter corresponding to the target signal-to-noise ratio can be determined according to the preset mapping relationship between the signal-to-noise ratio and the optimization parameter, Furthermore, the control parameters of the second noise reduction processing algorithm can be optimized according to the target optimization parameters to obtain the control parameters of the third noise reduction processing algorithm, so that the optimization effect is more in line with the characteristics of the audio file, which helps to ensure the noise reduction processing effect.

Then, according to the target noise reduction processing algorithm and the third noise reduction processing algorithm control parameters, the first audio file can be denoised to obtain the second audio file. Not only the noise reduction effect is more in line with the actual environment and hardware environment, but also the optimization effect It is more in line with the characteristics of audio files and helps to ensure the effect of noise reduction processing.

It can be seen that the microphone noise reduction processing method described in the embodiment of the present application is applied to electronic equipment, and the electronic equipment includes a microphone and an environmental sensor, and the target environmental parameters are obtained through the environmental sensors, and the target noise reduction processing corresponding to the target environmental parameters is determined. algorithm, obtaining the first noise reduction processing algorithm control parameter of the target noise reduction processing algorithm, obtaining the target hardware parameter of the microphone, determining the target score value corresponding to the target hardware parameter, and performing the first noise reduction processing algorithm control parameter according to the target score value Adjust to obtain the control parameters of the second noise reduction processing algorithm, obtain the first audio file through the microphone, perform noise reduction processing on the first audio file based on the target noise reduction processing algorithm and the control parameters of the second noise reduction processing algorithm, and obtain the second audio file , because the target noise reduction processing algorithm adapts to the external environment, and the control parameters of the second noise reduction processing algorithm adapt to the hardware environment, and then the noise reduction effect is more in line with the actual environment and the hardware environment, which helps to improve the noise reduction processing effect and improve the performance of the microphone. noise reduction capability.

Consistent with the above embodiment, please refer to FIG. 2. FIG. 2 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As shown in the figure, the electronic device includes a processor, a memory, a communication interface, and one or more program, the above-mentioned one or more programs are stored in the above-mentioned memory, and are configured to be executed by the above-mentioned processor, and the electronic device also includes a microphone and an environmental sensor. In the embodiment of the present application, the above-mentioned program includes a program for performing the following steps instruction:

Obtaining target environmental parameters through the environmental sensor;

determining a target noise reduction processing algorithm corresponding to the target environment parameter;

Acquiring a first noise reduction processing algorithm control parameter of the target noise reduction processing algorithm;

Acquiring target hardware parameters of the microphone;

determining a target score value corresponding to the target hardware parameter;

adjusting the control parameters of the first noise reduction processing algorithm according to the target score value to obtain the control parameters of the second noise reduction processing algorithm;

obtaining a first audio file through the microphone;

Perform noise reduction processing on the first audio file based on the target noise reduction processing algorithm and the control parameters of the second noise reduction processing algorithm to obtain a second audio file.

Optionally, in terms of determining the target score value corresponding to the target hardware parameter, the above program includes instructions for performing the following steps:

Performing multiple running analyzes based on the target hardware parameters to obtain multiple reference score values;

performing mean calculation according to the plurality of reference scoring values to obtain a target reference scoring value;

determining a target standard deviation for the plurality of reference score values;

Fine-tuning the target reference score value according to the target standard deviation to obtain the target score value.

Optionally, in terms of adjusting the control parameters of the first noise reduction processing algorithm according to the target score value to obtain the control parameters of the second noise reduction processing algorithm, the above program includes instructions for performing the following steps:

Determining adjustable algorithm control parameters and non-adjustable algorithm control parameters in the first noise reduction processing algorithm control parameters;

determining a target modifier corresponding to the target score value;

adjusting the adjustable algorithm control parameter according to the target adjustment factor to obtain the target adjustable algorithm control parameter;

The second noise reduction processing algorithm control parameter is determined according to the target adjustable algorithm control parameter and the non-adjustable algorithm control parameter.

Optionally, in terms of performing noise reduction processing on the first audio file based on the target noise reduction processing algorithm and the control parameters of the second noise reduction processing algorithm to obtain a second audio file, the above program includes: Instructions to perform the following steps:

determining a target signal-to-noise ratio for the first audio file;

determining target optimization parameters corresponding to the target signal-to-noise ratio;

Optimizing the control parameters of the second noise reduction processing algorithm according to the target optimization parameters to obtain the control parameters of the third noise reduction processing algorithm;

Perform noise reduction processing on the first audio file according to the target noise reduction processing algorithm and the control parameters of the third noise reduction processing algorithm to obtain the second audio file.

Optionally, when the target environment parameters include target environment noise parameters;

With regard to said determination of a target noise reduction processing algorithm corresponding to said target environment parameter, the above program includes instructions for performing the following steps:

determining a target ambient noise level corresponding to the target ambient noise parameter;

The target noise reduction processing algorithm corresponding to the target environmental noise level is determined.

It can be seen that the electronic device described in the embodiment of the present application includes a microphone and an environmental sensor, obtains target environmental parameters through the environmental sensor, determines the target noise reduction processing algorithm corresponding to the target environmental parameter, and obtains the target noise reduction processing algorithm. The first noise reduction processing algorithm control parameter of the algorithm, the target hardware parameter of the microphone is obtained, the target score value corresponding to the target hardware parameter is determined, and the first noise reduction processing algorithm control parameter is adjusted according to the target score value to obtain the second noise reduction Processing algorithm control parameters, acquire the first audio file through the microphone, perform noise reduction processing on the first audio file based on the target noise reduction processing algorithm and the second noise reduction processing algorithm control parameters, and obtain the second audio file, due to the target noise reduction processing algorithm To adapt to the external environment, the control parameters of the second noise reduction processing algorithm are adapted to the hardware environment, and the noise reduction effect is more in line with the actual environment and hardware environment, which helps to improve the noise reduction processing effect and the noise reduction ability of the microphone.

FIG. 3 is a block diagram of functional units of a microphone noise reduction processing device 300 involved in the embodiment of the present application. The microphone noise reduction processing device 300 includes: an acquisition unit 301, a determination unit 302, an adjustment unit 303, and a noise reduction processing unit 304, wherein,

The acquiring unit 301 is configured to acquire target environmental parameters through the environmental sensor;

The determination unit 302 is configured to determine a target noise reduction processing algorithm corresponding to the target environment parameter;

The acquiring unit 301 is further configured to acquire a first noise reduction processing algorithm control parameter of the target noise reduction processing algorithm; acquire target hardware parameters of the microphone;

The determining unit 302 is further configured to determine a target score value corresponding to the target hardware parameter;

The adjustment unit 303 is further configured to adjust the control parameters of the first noise reduction processing algorithm according to the target score value to obtain the control parameters of the second noise reduction processing algorithm;

The acquiring unit 301 is further configured to acquire a first audio file through the microphone;

The noise reduction processing unit 304 is further configured to perform noise reduction processing on the first audio file based on the target noise reduction processing algorithm and control parameters of the second noise reduction processing algorithm to obtain a second audio file.

Optionally, in terms of determining the target score value corresponding to the target hardware parameter, the determining unit 302 is specifically configured to:

Performing multiple running analyzes based on the target hardware parameters to obtain multiple reference score values;

performing mean calculation according to the plurality of reference scoring values to obtain a target reference scoring value;

determining a target standard deviation for the plurality of reference score values;

Fine-tuning the target reference score value according to the target standard deviation to obtain the target score value.

Optionally, in terms of adjusting the control parameters of the first noise reduction processing algorithm according to the target score value to obtain the control parameters of the second noise reduction processing algorithm, the adjustment unit 303 is specifically configured to:

Determining adjustable algorithm control parameters and non-adjustable algorithm control parameters in the first noise reduction processing algorithm control parameters;

determining a target modifier corresponding to the target score value;

adjusting the adjustable algorithm control parameter according to the target adjustment factor to obtain the target adjustable algorithm control parameter;

The second noise reduction processing algorithm control parameter is determined according to the target adjustable algorithm control parameter and the non-adjustable algorithm control parameter.

Optionally, in the aspect of performing noise reduction processing on the first audio file based on the target noise reduction processing algorithm and the control parameters of the second noise reduction processing algorithm to obtain a second audio file, the noise reduction processing Unit 304 is specifically for:

determining a target signal-to-noise ratio for the first audio file;

determining target optimization parameters corresponding to the target signal-to-noise ratio;

Optimizing the control parameters of the second noise reduction processing algorithm according to the target optimization parameters to obtain the control parameters of the third noise reduction processing algorithm;

Perform noise reduction processing on the first audio file according to the target noise reduction processing algorithm and the control parameters of the third noise reduction processing algorithm to obtain the second audio file.

Optionally, when the target environment parameters include target environment noise parameters;

In terms of determining the target noise reduction processing algorithm corresponding to the target environment parameter, the determining unit 302 is specifically configured to:

determining a target ambient noise level corresponding to the target ambient noise parameter;

The target noise reduction processing algorithm corresponding to the target environmental noise level is determined.

It can be seen that the microphone noise reduction processing device described in the embodiment of the present application is applied to electronic equipment, and the electronic equipment includes a microphone and an environmental sensor. The target environmental parameters are obtained through the environmental sensors, and the target noise reduction processing corresponding to the target environmental parameters is determined. algorithm, obtaining the first noise reduction processing algorithm control parameter of the target noise reduction processing algorithm, obtaining the target hardware parameter of the microphone, determining the target score value corresponding to the target hardware parameter, and performing the first noise reduction processing algorithm control parameter according to the target score value Adjust to obtain the control parameters of the second noise reduction processing algorithm, obtain the first audio file through the microphone, perform noise reduction processing on the first audio file based on the target noise reduction processing algorithm and the control parameters of the second noise reduction processing algorithm, and obtain the second audio file , because the target noise reduction processing algorithm adapts to the external environment, and the control parameters of the second noise reduction processing algorithm adapt to the hardware environment, and then the noise reduction effect is more in line with the actual environment and the hardware environment, which helps to improve the noise reduction processing effect and improve the performance of the microphone. noise reduction capability.

It can be understood that the functions of the program modules of the wearable device in this embodiment can be specifically implemented according to the method in the above method embodiment, and the specific implementation process can refer to the relevant description of the above method embodiment, and will not be repeated here.

An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables the computer to execute some or all of the steps of any method described in the above method embodiments .

An embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable the computer to execute any one of the methods described in the above method embodiments. Some or all steps of the method. The computer program product may be a software installation package.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Depending on the application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the above units is only a logical function division. In actual implementation, there may be other division methods, for example, multiple units or components can be combined or integrated. to another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical or other forms.

The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the above-mentioned integrated units are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory. Several instructions are included to make a computer device (which may be a personal computer, server or network device, etc.) execute all or part of the steps of the above-mentioned methods in various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash disk , Read-only memory (English: Read-Only Memory, abbreviated: ROM), random access device (English: Random Access Memory, abbreviated: RAM), magnetic disk or optical disk, etc.

The embodiments of the present application have been introduced in detail above, and specific examples have been used in this paper to illustrate the principles and implementation methods of the present application. The descriptions of the above embodiments are only used to help understand the methods and core ideas of the present application; meanwhile, for Those skilled in the art will have changes in specific implementation methods and application scopes based on the ideas of the present application. In summary, the contents of this specification should not be construed as limiting the present application.

Claims (6)

1. A microphone noise reduction processing method, characterized by being applied to an electronic device, the electronic device including a microphone and an environmental sensor, the method comprising:

acquiring a target environment parameter through the environment sensor;

determining a target noise reduction processing algorithm corresponding to the target environment parameter;

acquiring a first noise reduction processing algorithm control parameter of the target noise reduction processing algorithm;

acquiring target hardware parameters of the microphone;

determining a target scoring value corresponding to the target hardware parameter;

adjusting the first noise reduction processing algorithm control parameter according to the target grading value to obtain a second noise reduction processing algorithm control parameter;

acquiring a first audio file through the microphone;

and carrying out noise reduction processing on the first audio file based on the target noise reduction processing algorithm and the control parameters of the second noise reduction processing algorithm to obtain a second audio file.

2. The method of claim 1, wherein the determining a target scoring value corresponding to the target hardware parameter comprises:

performing multiple operation analysis based on the target hardware parameters to obtain multiple reference scoring values;

performing average value operation according to the multiple reference scoring values to obtain a target reference scoring value;

determining a target standard deviation of the plurality of reference scoring values;

and fine tuning the target reference scoring value according to the target standard deviation to obtain the target scoring value.

3. The method according to claim 2, wherein said adjusting the first noise reduction algorithm control parameter according to the target score value to obtain a second noise reduction algorithm control parameter comprises:

determining an adjustable algorithm control parameter and a non-adjustable algorithm control parameter in the first noise reduction processing algorithm control parameters;

determining a target adjustment factor corresponding to the target score value;

adjusting the adjustable algorithm control parameters according to the target adjustment factors to obtain target adjustable algorithm control parameters;

and determining the second noise reduction processing algorithm control parameter according to the target adjustable algorithm control parameter and the non-adjustable algorithm control parameter.

4. A method according to any one of claims 1-3, wherein said denoising the first audio file based on the target denoising algorithm and the second denoising algorithm control parameter to obtain a second audio file, comprising:

determining a target signal-to-noise ratio of the first audio file;

determining a target optimization parameter corresponding to the target signal-to-noise ratio;

optimizing the second noise reduction processing algorithm control parameters according to the target optimization parameters to obtain third noise reduction processing algorithm control parameters;

and carrying out noise reduction processing on the first audio file according to the target noise reduction processing algorithm and the control parameter of the third noise reduction processing algorithm to obtain the second audio file.

5. A method according to any of claims 1-3, wherein when the target environmental parameter comprises a target environmental noise parameter;

the determining a target noise reduction processing algorithm corresponding to the target environment parameter comprises the following steps:

determining a target environmental noise level corresponding to the target environmental noise parameter;

and determining the target noise reduction processing algorithm corresponding to the target environmental noise level.

6. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-6.