CN111933167A - Noise reduction method and device for electronic equipment, storage medium and electronic equipment - Google Patents

Noise reduction method and device for electronic equipment, storage medium and electronic equipment Download PDF

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CN111933167A
CN111933167A CN202010791409.5A CN202010791409A CN111933167A CN 111933167 A CN111933167 A CN 111933167A CN 202010791409 A CN202010791409 A CN 202010791409A CN 111933167 A CN111933167 A CN 111933167A
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signal
sound
sound signal
noise ratio
noise
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CN111933167B (en
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林贻鸿
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Priority to PCT/CN2021/098664 priority patent/WO2022028083A1/en
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • G10L21/0216Noise filtering characterised by the method used for estimating noise

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  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
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  • Audiology, Speech & Language Pathology (AREA)
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  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
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Abstract

The embodiment of the application discloses a noise reduction method and device of electronic equipment, a storage medium and the electronic equipment, wherein a first sound signal detected by a first sound receiving assembly and a second sound signal detected by a second sound receiving assembly are obtained; calculating a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal; when the first signal-to-noise ratio is not equal to the second signal-to-noise ratio, determining a main sound receiving assembly and an environment sound receiving assembly according to the first signal-to-noise ratio and the second signal-to-noise ratio, wherein the signal-to-noise ratio of a sound signal of the main sound receiving assembly is greater than that of a sound signal of the environment sound receiving assembly; according to the sound signal of the environment sound receiving assembly, the noise reduction processing is carried out on the sound signal of the main sound receiving assembly, the noise in the sound signal of the main sound receiving assembly is eliminated, the target sound signal is obtained, and the signal to noise ratio of the target sound signal is improved.

Description

Noise reduction method and device for electronic equipment, storage medium and electronic equipment
Technical Field
The present application relates to the field of electronic device technologies, and in particular, to a noise reduction method and apparatus for an electronic device, a storage medium, and an electronic device.
Background
Along with the development of technology, people are more and more extensive to the use of intelligent wearing equipment, for example intelligent glasses, intelligent helmet, intelligent bracelet etc..
The wearable device is generally provided with a microphone to realize voice related functions such as voice call, network call, voice awakening, voice recognition and recording. However, in some usage scenarios, for example, in an outdoor environment, there may be some noise interference, which results in a relatively large signal-to-noise ratio of the sound signal acquired by the wearable device.
Disclosure of Invention
The embodiment of the application provides a noise reduction method and device for electronic equipment, a storage medium and the electronic equipment, which can realize noise reduction processing on a sound signal detected by the electronic equipment.
In a first aspect, an embodiment of the present application provides a noise reduction method for an electronic device, including:
acquiring a first sound signal detected by the first sound receiving assembly and a second sound signal detected by the second sound receiving assembly;
calculating a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal;
determining a main sound receiving component and an environment sound receiving component according to the first signal-to-noise ratio and the second signal-to-noise ratio, wherein the signal-to-noise ratio of the sound signal of the main sound receiving component is greater than that of the sound signal of the environment sound receiving component;
and according to the sound signal of the environment sound receiving assembly, carrying out noise reduction processing on the sound signal of the main sound receiving assembly to obtain a target sound signal.
In a second aspect, an embodiment of the present application further provides a noise reduction apparatus for an electronic device, including:
the signal acquisition module is used for acquiring a first sound signal detected by the first sound receiving assembly and a second sound signal detected by the second sound receiving assembly;
the signal-to-noise ratio calculation module is used for calculating a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal;
the component selection module is used for determining a main sound receiving component and an environment sound receiving component according to the first signal-to-noise ratio and the second signal-to-noise ratio, wherein the signal-to-noise ratio of a sound signal of the main sound receiving component is greater than that of a sound signal of the environment sound receiving component;
and the signal processing module is used for carrying out noise reduction processing on the sound signal of the main sound receiving assembly according to the sound signal of the environment sound receiving assembly to obtain a target sound signal.
In a third aspect, embodiments of the present application further provide a storage medium having a computer program stored thereon, where the computer program is executed on a computer, so that the computer executes the noise reduction method of the electronic device according to any embodiment of the present application.
In a fourth aspect, an embodiment of the present application further provides an electronic device, including a processor and a memory, where the memory has a computer program, and the processor is configured to execute the noise reduction method of the electronic device according to any embodiment of the present application by calling the computer program.
According to the technical scheme, the first sound signal detected by the first sound receiving assembly is obtained, the second sound signal detected by the second sound receiving assembly is obtained, the first signal to noise ratio of the first sound signal is calculated, the second signal to noise ratio of the second sound signal is calculated, in order to reduce the signal to noise ratio of the sound signal output or obtained by the electronic equipment, the sound receiving assembly with the larger signal to noise ratio of the sound signal in the two sound receiving assemblies is selected as the main sound receiving assembly, the sound receiving assembly with the smaller signal to noise ratio of the sound signal is used as the environment sound receiving assembly, the sound signal of the main sound receiving assembly is subjected to noise reduction processing according to the sound signal of the environment sound receiving assembly, noise in the sound signal of the main sound receiving assembly is eliminated, the target sound signal is obtained, and.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a first flowchart illustrating a noise reduction method for an electronic device according to an embodiment of the present disclosure.
Fig. 2 is a schematic view of an application scenario of a noise reduction method for an electronic device according to an embodiment of the present application.
Fig. 3 is a second flowchart illustrating a noise reduction method for an electronic device according to an embodiment of the present disclosure.
Fig. 4 is a schematic structural diagram of a noise reduction apparatus of an electronic device according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a first electronic device according to an embodiment of the present application.
Fig. 6 is a schematic structural diagram of a second electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without inventive step, are within the scope of the present application.
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 application. The appearances of the 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 explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
An execution main body of the noise reduction method of the electronic device may be a noise reduction apparatus of the electronic device provided by the embodiment of the present application, or an electronic device integrated with the noise reduction apparatus of the electronic device, where the noise reduction apparatus of the electronic device may be implemented in a hardware or software manner. The electronic device can be a smart phone, a tablet personal computer, a palm computer, a notebook computer, a desktop computer or other devices, and can also be an intelligent wearable device such as smart glasses, a smart helmet, a smart bracelet or other devices.
Referring to fig. 1, fig. 1 is a first flowchart illustrating a noise reduction method of an electronic device according to an embodiment of the present disclosure. The specific flow of the noise reduction method for the electronic device provided by the embodiment of the application can be as follows:
in 101, a first sound signal detected by a first sound pickup assembly and a second sound signal detected by a second sound pickup assembly are obtained.
The noise reduction method of the electronic device according to the embodiment of the present application may be applied to any one of the electronic devices. The electronic equipment is provided with a first sound receiving component and a second sound receiving component, wherein one sound receiving component comprises at least one microphone.
For example, in one embodiment, the electronic device is a smartphone, and the smartphone includes a first sound receiving component and a second sound receiving component, and the first sound receiving component and the second sound receiving component can detect sound signals in different directions.
For another example, in another embodiment, the electronic device is smart glasses. Referring to fig. 2, fig. 2 is a schematic view of an application of a noise reduction method for an electronic device according to an embodiment of the present disclosure. This intelligence glasses includes glasses main part to and including setting up first spectacle frame and the second spectacle frame in glasses main part both sides respectively, be provided with first radio reception subassembly on the first spectacle frame, be provided with second radio reception subassembly on the second spectacle frame. The first sound receiving component and the second sound receiving component are symmetrically distributed in space. Wherein, as an implementation mode, one sound receiving component only comprises one microphone. Or, as another embodiment, a sound pickup assembly may include two or more microphones, where signals detected by the two or more microphones may be processed according to a beamforming algorithm, and the human voice and the ambient sound are subjected to noise reduction processing to obtain an audio signal, and the audio signal is used as the first sound signal detected by the sound pickup assembly.
In 102, a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal are calculated.
Because when electronic equipment such as intelligent glasses was in the in-service use, the position of noise source is not fixed unchangeable, and the position that first radio reception subassembly and second radio reception subassembly set up is different, and the noise source is respectively apart from the distance inequality of two radio reception subassemblies. Therefore, the degree of influence of noise varies among the detected sound signals. Based on this, when two sound receiving assemblies are used, the signal-to-noise ratios of the sound signals detected by the two sound receiving assemblies can be respectively calculated, so that which sound receiving assembly is closer to the noise source can be judged according to the signal-to-noise ratios of the sound signals, and the influence of the sound signals is reduced in the subsequent processing process of the sound signals.
After a first sound signal of the first sound receiving assembly and a second sound signal of the second sound receiving assembly are obtained, signal to noise ratios of the two sound signals are calculated respectively. The signal-to-noise ratio of the sound signal refers to a ratio of a sound source signal to a noise signal in the sound signal. The sound source signal here refers to a valid sound signal that the user wishes to acquire, for example, a voice signal that the user utters when controlling the smart glasses through a voice command. The sound signal here refers to an original signal detected by a microphone, and includes a sound source signal and a noise signal.
Based on this, in one embodiment, calculating a first signal-to-noise ratio of the first sound signal includes:
determining a third sound signal segment from the first sound signal, and acquiring a third amplitude value of the third sound signal segment, wherein the third sound signal segment does not contain human voice;
determining a fourth sound signal segment from the first sound signal, and acquiring a fourth amplitude of the fourth sound signal segment, wherein the fourth sound signal segment comprises a sound source signal and a noise signal;
a first signal-to-noise ratio of the first sound signal is calculated based on the third amplitude and the fourth amplitude.
In this embodiment, a third sound signal segment and a fourth sound signal segment are determined from the initial sound signal detected by the first sound receiving component, that is, the first sound signal, where the third sound signal segment only contains a noise signal, and the fourth sound signal segment contains a sound source signal and a noise signal. And then, acquiring a third amplitude of the third sound signal segment, acquiring a fourth amplitude of the fourth sound signal segment, and calculating to obtain the signal-to-noise ratio of the first sound signal. For example, the third amplitude is subtracted from the fourth amplitude to obtain the amplitude of the sound source signal, and the amplitude of the sound source signal is divided by the third amplitude to obtain the signal-to-noise ratio of the first sound signal.
For the second sound signal, a second signal-to-noise ratio of the second sound signal may be calculated in the same manner as for the first sound signal.
In 103, a main sound receiving component and an environment sound receiving component are determined according to the first signal-to-noise ratio and the second signal-to-noise ratio, wherein the signal-to-noise ratio of the sound signal of the main sound receiving component is greater than the signal-to-noise ratio of the sound signal of the environment sound receiving component.
At 104, according to the sound signal of the environment sound receiving component, the sound signal of the main sound receiving component is subjected to noise reduction processing to obtain a target sound signal.
Since the noise source may be located at a different distance from the two sound receiving components, the first and second calculated signal-to-noise ratios are generally different in such a case. At this time, in the two sound receiving assemblies, the sound receiving assembly with a larger signal-to-noise ratio serves as a main sound receiving assembly, the sound receiving assembly with a smaller signal-to-noise ratio serves as an environment sound receiving assembly, and the sound signal of the environment sound receiving assembly is used for carrying out noise reduction processing on the sound signal of the main sound receiving assembly.
Still taking the scenario of fig. 2 as an example, assuming that the noise source is located on the left side of the wearer of the wearable device, the noise signal in the second sound signal will be much smaller than the noise signal in the first sound signal, and it is assumed that the calculated first signal-to-noise ratio is smaller than the second signal-to-noise ratio. The first sound receiving component can be used as an environment sound receiving component, and the second sound receiving component can be used as a main sound receiving component. And denoising the second sound signal by using the first sound signal to obtain a target sound signal.
In an embodiment, before determining the main sound receiving component and the environmental sound receiving component according to the first signal-to-noise ratio and the second signal-to-noise ratio, the method further includes: comparing the first signal-to-noise ratio with a first preset threshold value, and comparing the second signal-to-noise ratio with the first preset threshold value; and when the first signal-to-noise ratio is smaller than a first preset threshold value or the second signal-to-noise ratio is smaller than the first preset threshold value, determining the main sound receiving assembly and the environment sound receiving assembly according to the first signal-to-noise ratio and the second signal-to-noise ratio.
In this embodiment, a first preset threshold is obtained, the first signal-to-noise ratio is compared with the first preset threshold, and the second signal-to-noise ratio is compared with the first preset threshold. The first preset threshold is a preset value, and may be an empirical value, for example, in some embodiments, the first preset threshold may be equal to 0 db. For another example, in other embodiments, the first preset threshold may also be equal to 0.2db, 0.3db, etc.
When the signal-to-noise ratio of the sound signal is smaller than the first preset threshold, it is determined that the noise of the sound signal is too large, which has a large influence on the sound source signal, and it is difficult to perform noise reduction on the two sound signals in a beam forming manner.
Therefore, when the first signal-to-noise ratio is smaller than the first preset threshold value or the second signal-to-noise ratio is smaller than the first preset threshold value, the sound receiving component corresponding to the sound signal with the larger signal-to-noise ratio in the first sound signal and the second sound signal is used as the main sound receiving component. And obtaining a target sound signal based on the sound signal of the main sound receiving assembly. The target sound signal is a sound signal which is obtained by processing original signals detected by the two sound receiving components and is used for outputting or sending. For example, in a scene of a call of a user through the wearable device, the target sound signal is a sound signal that needs to be transmitted to an opposite end of the call. For another example, in the context of sound recording, the target sound signal is a signal stored to the device.
And when the first signal-to-noise ratio and the second signal-to-noise ratio are detected to be larger than a first preset threshold value, processing the first sound signal and the second sound signal according to a beam forming algorithm to obtain a target sound signal.
In particular implementation, the present application is not limited by the execution sequence of the described steps, and some steps may be performed in other sequences or simultaneously without conflict.
As can be seen from the above, the noise reduction method for an electronic device, provided by the embodiment of the present application, acquires a first sound signal detected by a first sound receiving component, and a second sound signal detected by a second sound receiving component, calculates a first signal-to-noise ratio of the first sound signal, and a second signal-to-noise ratio of the second sound signal, and selects a sound receiving component with a larger signal-to-noise ratio of a sound signal in the two sound receiving components as a main sound receiving component, and uses a sound receiving component with a smaller signal-to-noise ratio of a sound signal as an environmental sound receiving component, and performs noise reduction processing on the sound signal of the main sound receiving component according to the sound signal of the environmental sound receiving component, so as to eliminate noise in the sound signal of the main sound receiving component, obtain a target sound signal, and improve the signal-.
In some embodiments, the noise reduction processing is performed on the sound signal of the sound reception component according to the sound signal of the environment sound reception component to obtain the target sound signal, including:
obtaining a target attenuation proportion;
according to the target attenuation proportion, carrying out attenuation processing on the sound signal of the environment sound receiving component;
and subtracting the sound signal of the environment sound receiving component after attenuation processing from the sound signal of the main sound receiving component to obtain a target sound signal.
In this embodiment, because the noise in the sound signal detected by the main sound receiving component is smaller than the noise in the sound signal detected by the environment sound receiving component, before the sound signal of the environment sound receiving component is used to reduce the noise of the main sound receiving component, the target attenuation ratio is obtained, the sound signal of the environment sound receiving component is attenuated by using the target attenuation ratio, and then the sound signal of the main sound receiving component is used to subtract the sound signal of the environment sound receiving component after the attenuation processing, so as to obtain the target sound signal. Wherein the target attenuation ratio may be an empirical value.
The method according to the preceding embodiment is illustrated in further detail below by way of example.
Referring to fig. 3, fig. 3 is a second flowchart of a noise reduction method for an electronic device according to an embodiment of the invention. The method comprises the following steps:
in 201, a first sound signal detected by a first sound pickup assembly and a second sound signal detected by a second sound pickup assembly are obtained.
In this embodiment, each sound pickup assembly includes at least two microphones, and the initial sound signals detected by the at least two microphones are processed according to a beam forming algorithm, and the processed sound signals are used as the sound signals detected by the sound pickup assembly. Wherein, each sound receiving component comprises at least two microphones which are arranged on a spectacle frame according to a specific array, for example, at least two microphones are linearly arranged on the spectacle frame. First radio subassembly and second radio subassembly to the center pin of wearing glasses is as the symmetry axis, and the symmetric distribution is on the spectacle frame of left and right sides.
Based on the mode, the first sound signal detected by the first sound receiving assembly and the second sound signal detected by the second sound receiving assembly are obtained.
In 202, a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal are calculated.
In 203, the first signal-to-noise ratio is compared with a first preset threshold value, and the second signal-to-noise ratio is compared with the first preset threshold value.
When the first signal-to-noise ratio is smaller than a first preset threshold value or the second signal-to-noise ratio is smaller than the first preset threshold value, executing 204; when the first signal-to-noise ratio is not less than the first preset threshold and the second signal-to-noise ratio is not less than the first preset threshold, step 210 is performed.
At 204, a main sound receiving component and an environment sound receiving component are determined according to the first signal-to-noise ratio and the second signal-to-noise ratio, wherein the signal-to-noise ratio of the sound signal of the main sound receiving component is greater than the signal-to-noise ratio of the sound signal of the environment sound receiving component.
After a first sound signal of the first sound receiving assembly and a second sound signal of the second sound receiving assembly are obtained, signal to noise ratios of the two sound signals are calculated respectively.
When the signal-to-noise ratio of the sound signal is smaller than a first preset threshold value, it is judged that the noise of the sound signal is too large, great influence is generated on a sound source signal, human voice and noise cannot be well separated, and therefore noise reduction is difficult to perform on the two sound signals in a beam forming mode.
Therefore, when the first signal-to-noise ratio is smaller than the first preset threshold value or the second signal-to-noise ratio is smaller than the first preset threshold value, the sound receiving component corresponding to the sound signal with the larger signal-to-noise ratio in the first sound signal and the second sound signal is used as the main sound receiving component. The sound receiving component with smaller signal-to-noise ratio is used as an environment sound receiving component, and the sound signal of the environment sound receiving component is used for carrying out noise reduction processing on the sound signal of the main sound receiving component.
In 205, a first sound signal segment is determined from the sound signal of the main sound pickup assembly, and a first amplitude of the first sound signal segment is obtained.
At 206, a second sound signal segment is determined from the sound signal of the ambient sound collection component, and a second amplitude of the second sound signal segment is obtained.
In 207, a target attenuation ratio is obtained according to the ratio of the first amplitude to the second amplitude.
Because the noise in the sound signal detected by the main sound receiving component is smaller than the noise in the sound signal detected by the environment sound receiving component, before the noise reduction is carried out on the main sound receiving component by using the sound signal of the environment sound receiving component, the target attenuation proportion is firstly obtained, the sound signal of the environment sound receiving component is subjected to attenuation processing by using the target attenuation proportion, and then the sound signal of the environment sound receiving component subjected to the attenuation processing is subtracted by using the sound signal of the main sound receiving component to obtain the target sound signal.
Since the magnitude of the noise signal varies and the position of the noise source also varies, the noise is removed more accurately. The target attenuation ratio can be calculated from the two sound signals in real time. Determining a first sound signal segment from a sound signal of a main sound receiving assembly, and acquiring a first amplitude value of the first sound signal segment; a second sound signal segment is determined from the sound signal of the ambient sound collection assembly and a second amplitude of the second sound signal segment is obtained. And calculating the ratio of the first amplitude to the second amplitude to obtain the target attenuation ratio.
Wherein the electronic device periodically processes the sound signal according to 201 to 210. In some embodiments, in order to reduce the calculation error of the target attenuation ratio, after the ratio of the first amplitude to the second amplitude is obtained through calculation, if the difference between the ratio and the preset attenuation ratio is greater than a second preset threshold, the ratios in a plurality of continuous historical detection periods are obtained, the average value of the ratios is calculated, and the average value is used as the target attenuation ratio to eliminate the detection error.
At 208, the sound signal of the ambient sound pickup assembly is attenuated according to the target attenuation ratio.
At 209, the sound signal of the ambient sound pickup assembly after the attenuation process is subtracted from the sound signal of the main sound pickup assembly to obtain a target sound signal.
And after the target attenuation proportion is obtained through calculation, the target attenuation proportion is used for carrying out attenuation processing on the sound signal of the environment sound receiving component, and then the sound signal of the main sound receiving component is used for subtracting the sound signal of the environment sound receiving component after the attenuation processing, so that a target sound signal is obtained.
At 210, the first and second audio signals are processed according to a beamforming algorithm to obtain a target audio signal.
If the first signal-to-noise ratio and the second signal-to-noise ratio are not smaller than the first preset threshold, the human voice and the noise can be well separated for the first signal-to-noise ratio and the second signal-to-noise ratio, and at the moment, in order to achieve a better noise reduction effect, the first sound signal and the second sound signal can be processed according to a beam forming algorithm to obtain a target sound signal.
As can be seen from the above, in the noise reduction method for electronic equipment provided in the embodiment of the present invention, in the process of processing the sound signals of the multiple sound receiving assemblies to obtain the target sound signal, the sound receiving assembly with a relatively high signal-to-noise ratio is used as the main sound receiving assembly, the sound receiving assembly with a relatively low signal-to-noise ratio is used as the environment sound receiving assembly, and the sound signal of the environment sound receiving assembly is used to perform noise reduction processing on the sound signal of the main sound receiving assembly.
In addition, in the noise reduction processing process, the attenuation ratio can be obtained according to the amplitude ratio of the noise signal of the main sound receiving component and the noise signal of the environment sound receiving component. Because the noise in the sound signal detected by the main sound receiving component is smaller than the noise in the sound signal detected by the environment sound receiving component, the noise signal in the environment sound receiving component is attenuated and then the noise of the sound signal of the main sound receiving component is reduced, so that a target sound signal with better noise reduction effect can be obtained.
In one embodiment, a noise reduction apparatus for an electronic device is also provided. Referring to fig. 4, fig. 4 is a schematic structural diagram of a noise reduction apparatus 300 of an electronic device according to an embodiment of the present disclosure. The noise reduction apparatus 300 of the electronic device includes a signal obtaining module 301, a signal-to-noise ratio calculating module 302, a component selecting module 303, and a signal processing module 304, as follows:
a signal acquiring module 301, configured to acquire a first sound signal detected by a first sound receiving component and a second sound signal detected by a second sound receiving component;
a signal-to-noise ratio calculating module 302, configured to calculate a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal;
the component selection module 303 is configured to determine a main sound reception component and an environment sound reception component according to the first signal-to-noise ratio and the second signal-to-noise ratio, where a signal-to-noise ratio of a sound signal of the main sound reception component is greater than a signal-to-noise ratio of a sound signal of the environment sound reception component;
the signal processing module 304 is configured to perform noise reduction processing on the sound signal of the main sound receiving component according to the sound signal of the environment sound receiving component to obtain a target sound signal.
In some embodiments, the noise reducer 300 of the electronic device further includes a data comparison module, where the data comparison module is configured to: comparing the first signal-to-noise ratio with a first preset threshold value, and comparing the second signal-to-noise ratio with the first preset threshold value;
the component selection module 303 is further configured to: and when the first signal-to-noise ratio is smaller than a first preset threshold value or the second signal-to-noise ratio is smaller than the first preset threshold value, determining a main sound receiving component and an environment sound receiving component according to the first signal-to-noise ratio and the second signal-to-noise ratio.
In some embodiments, the signal processing module 304 is further configured to: and when the first signal-to-noise ratio is not less than the first preset threshold value and the second signal-to-noise ratio is not less than the first preset threshold value, processing the first sound signal and the second sound signal according to a beam forming algorithm to obtain a target sound signal.
In some embodiments, the signal processing module 304 is further configured to: obtaining a target attenuation proportion;
according to the target attenuation proportion, carrying out attenuation processing on the sound signal of the environment sound receiving component;
and subtracting the sound signal of the environment sound receiving component after attenuation processing from the sound signal of the main sound receiving component to obtain a target sound signal.
In some embodiments, the signal processing module 304 is further configured to: determining a first sound signal segment from the sound signal of the main sound receiving assembly, and acquiring a first amplitude value of the first sound signal segment;
determining a second sound signal segment from the sound signals of the environment sound receiving assembly, and acquiring a second amplitude value of the second sound signal segment, wherein signals in the first sound signal segment and the second sound signal segment are noise signals;
and obtaining a target attenuation ratio according to the ratio of the first amplitude to the second amplitude.
In some embodiments, the signal processing module 304 is further configured to: calculating a ratio of the first amplitude to the second amplitude;
and when the difference value between the ratio and the preset attenuation ratio is larger than a second preset threshold value, acquiring the ratio in a plurality of continuous historical detection periods, calculating the average value of the ratios, and taking the average value as the target attenuation ratio.
In some embodiments, the signal processing module 304 is further configured to: and acquiring a preset attenuation proportion as a target attenuation proportion.
In some embodiments, the signal-to-noise ratio calculation module 302 is further configured to: determining a third sound signal segment from the first sound signal, and acquiring a third amplitude of the third sound signal segment, wherein a signal in the third sound signal segment is a noise signal;
determining a fourth sound signal segment from the first sound signal, and obtaining a fourth amplitude of the fourth sound signal segment, wherein the fourth sound signal segment comprises a sound source signal and a noise signal;
and calculating a first signal-to-noise ratio of the first sound signal according to the third amplitude and the fourth amplitude.
In some embodiments, the signal acquisition module 301 is further configured to: acquiring a plurality of sound signals detected by the plurality of microphones;
and processing the plurality of sound signals according to a beam forming algorithm to obtain a first sound signal corresponding to the first sound receiving component.
It should be noted that the noise reduction apparatus of the electronic device provided in the embodiment of the present application and the noise reduction method of the electronic device in the foregoing embodiments belong to the same concept, and any method provided in the noise reduction method embodiment of the electronic device can be implemented by the noise reduction apparatus of the electronic device, and a specific implementation process thereof is described in the noise reduction method embodiment of the electronic device, and is not described herein again.
As can be seen from the above, the noise reduction apparatus 300 of an electronic device provided in this embodiment of the present application includes a signal obtaining module 301, a signal-to-noise ratio calculating module 302, a component selecting module 303 and a signal processing module 304, where the signal obtaining module 301 obtains a first sound signal detected by a first sound receiving component and a second sound signal detected by a second sound receiving component, the signal-to-noise ratio calculating module 302 calculates a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal, and in order to reduce the signal-to-noise ratio of the sound signal output or obtained by the electronic device, the component selecting module 303 selects a sound receiving component with a larger signal-to-noise ratio of the sound signal of the two sound receiving components as a main sound receiving component, uses a sound receiving component with a smaller signal-to-noise ratio of the sound signal as an environment sound receiving component, noise in the sound signal of the main sound receiving assembly is eliminated, a target sound signal is obtained, and the signal to noise ratio of the target sound signal is improved.
The embodiment of the application also provides the electronic equipment. The electronic device can be a smart phone, a tablet computer and the like. Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. The electronic device 400 comprises a processor 401 and a memory 402. The processor 401 is electrically connected to the memory 402. The electronic device 400 further includes a first sound receiving component 411 and a second sound receiving component 412, wherein the first sound receiving component 411 and the second sound receiving component 412 are electrically connected to the processor 401 and the memory 402.
The processor 401 is a control center of the electronic device 400, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or calling a computer program stored in the memory 402 and calling data stored in the memory 402, thereby performing overall monitoring of the electronic device.
Memory 402 may be used to store computer programs and data. The memory 402 stores computer programs containing instructions executable in the processor. The computer program may constitute various functional modules. The processor 401 executes various functional applications and data processing by calling a computer program stored in the memory 402.
In this embodiment, the processor 401 in the electronic device 400 loads instructions corresponding to one or more processes of the computer program into the memory 402 according to the following steps, and the processor 401 runs the computer program stored in the memory 402, so as to implement various functions:
acquiring a first sound signal detected by a first sound receiving assembly and a second sound signal detected by a second sound receiving assembly;
calculating a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal;
determining a main sound receiving component and an environment sound receiving component according to the first signal-to-noise ratio and the second signal-to-noise ratio, wherein the signal-to-noise ratio of the sound signal of the main sound receiving component is greater than that of the sound signal of the environment sound receiving component;
and according to the sound signal of the environment sound receiving assembly, carrying out noise reduction processing on the sound signal of the main sound receiving assembly to obtain a target sound signal.
In some embodiments, please refer to fig. 6, and fig. 6 is a second structural diagram of an electronic device according to an embodiment of the present disclosure. The electronic device 400 further comprises: radio frequency circuit 403, display 404, control circuit 405, input unit 406, audio circuit 407, sensor 408, and power supply 409. The processor 401 is electrically connected to the radio frequency circuit 403, the display 404, the control circuit 405, the input unit 406, the audio circuit 407, the sensor 408, and the power source 409.
The radio frequency circuit 403 is used for transceiving radio frequency signals to communicate with a network device or other electronic devices through wireless communication.
The display screen 404 may be used to display information entered by or provided to the user as well as various graphical user interfaces of the electronic device, which may be comprised of images, text, icons, video, and any combination thereof.
The control circuit 405 is electrically connected to the display screen 404, and is configured to control the display screen 404 to display information.
The input unit 406 may be used to receive input numbers, character information, or user characteristic information (e.g., fingerprint), and to generate keyboard, mouse, joystick, optical, or trackball signal inputs related to user settings and function control. The input unit 406 may include a fingerprint recognition module.
The audio circuit 407 may provide an audio interface between the user and the electronic device through a speaker, microphone. Wherein the audio circuit 407 comprises a microphone. The microphone is electrically connected to the processor 401. The microphone is used for receiving voice information input by a user.
The sensor 408 is used to collect external environmental information. The sensors 408 may include one or more of ambient light sensors, acceleration sensors, gyroscopes, etc.
The power supply 409 is used to power the various components of the electronic device 400. In some embodiments, the power source 409 may be logically connected to the processor 401 through a power management system, so that functions of managing charging, discharging, and power consumption are implemented through the power management system.
Although not shown in the drawings, the electronic device 400 may further include a camera, a bluetooth module, and the like, which are not described in detail herein.
In this embodiment, the processor 401 in the electronic device 400 loads instructions corresponding to one or more processes of the computer program into the memory 402 according to the following steps, and the processor 401 runs the computer program stored in the memory 402, so as to implement various functions:
acquiring a first sound signal detected by a first sound receiving assembly and a second sound signal detected by a second sound receiving assembly;
calculating a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal;
determining a main sound receiving component and an environment sound receiving component according to the first signal-to-noise ratio and the second signal-to-noise ratio, wherein the signal-to-noise ratio of the sound signal of the main sound receiving component is greater than that of the sound signal of the environment sound receiving component;
and according to the sound signal of the environment sound receiving assembly, carrying out noise reduction processing on the sound signal of the main sound receiving assembly to obtain a target sound signal.
In some embodiments, processor 401 performs:
comparing the first signal-to-noise ratio with a first preset threshold value, and comparing the second signal-to-noise ratio with the first preset threshold value;
and when the first signal-to-noise ratio is smaller than a first preset threshold value or the second signal-to-noise ratio is smaller than the first preset threshold value, determining a main sound receiving assembly and an environment sound receiving assembly according to the first signal-to-noise ratio and the second signal-to-noise ratio.
In some embodiments, processor 401 performs: and when the first signal-to-noise ratio is not less than the first preset threshold value and the second signal-to-noise ratio is not less than the first preset threshold value, processing the first sound signal and the second sound signal according to a beam forming algorithm to obtain a target sound signal.
In some embodiments, processor 401 performs: obtaining a target attenuation proportion;
according to the target attenuation proportion, carrying out attenuation processing on the sound signal of the environment sound receiving component;
and subtracting the sound signal of the environment sound receiving component after attenuation processing from the sound signal of the main sound receiving component to obtain a target sound signal.
In some embodiments, processor 401 performs: determining a first sound signal segment from the sound signal of the main sound receiving assembly, and acquiring a first amplitude value of the first sound signal segment;
determining a second sound signal segment from the sound signals of the environment sound receiving assembly, and acquiring a second amplitude value of the second sound signal segment, wherein signals in the first sound signal segment and the second sound signal segment are noise signals;
and obtaining a target attenuation ratio according to the ratio of the first amplitude to the second amplitude.
In some embodiments, processor 401 performs: calculating a ratio of the first amplitude to the second amplitude;
and when the difference value between the ratio and the preset attenuation ratio is larger than a second preset threshold value, acquiring the ratio in a plurality of continuous historical detection periods, calculating the average value of the ratios, and taking the average value as the target attenuation ratio.
In some embodiments, processor 401 performs: and acquiring a preset attenuation proportion as a target attenuation proportion.
In some embodiments, processor 401 performs: determining a third sound signal segment from the first sound signal, and acquiring a third amplitude of the third sound signal segment, wherein a signal in the third sound signal segment is a noise signal;
determining a fourth sound signal segment from the first sound signal, and obtaining a fourth amplitude of the fourth sound signal segment, wherein the fourth sound signal segment comprises a sound source signal and a noise signal;
and calculating a first signal-to-noise ratio of the first sound signal according to the third amplitude and the fourth amplitude.
In some embodiments, the first sound receiving component comprises a plurality of microphones; the processor 401 performs: acquiring a plurality of sound signals detected by the plurality of microphones;
and processing the plurality of sound signals according to a beam forming algorithm to obtain a first sound signal corresponding to the first sound receiving component.
Therefore, the embodiment of the application provides an electronic device, the electronic device acquires a first sound signal detected by a first sound receiving assembly, a second sound signal detected by a second sound receiving assembly, calculates a first signal to noise ratio of the first sound signal, and a second signal to noise ratio of the second sound signal, selects a sound receiving assembly with a larger signal to noise ratio of sound signals in two sound receiving assemblies as a main sound receiving assembly, and selects a sound receiving assembly with a smaller signal to noise ratio of sound signals as an environmental sound receiving assembly, and performs noise reduction processing on the sound signals of the main sound receiving assembly according to the sound signals of the environmental sound receiving assembly, so as to eliminate noise in the sound signals of the main sound receiving assembly, obtain a target sound signal, and improve the signal to noise ratio of the target sound signal.
An embodiment of the present application further provides a storage medium, where a computer program is stored in the storage medium, and when the computer program runs on a computer, the computer executes the noise reduction method of the electronic device according to any of the above embodiments.
It should be noted that, all or part of the steps in the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, which may be stored in a computer-readable storage medium, which may include, but is not limited to: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Furthermore, the terms "first", "second", and "third", etc. in this application are used to distinguish different objects, and are not used to describe a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to only those steps or modules listed, but rather, some embodiments may include other steps or modules not listed or inherent to such process, method, article, or apparatus.
The noise reduction method and apparatus for electronic device, the storage medium, and the electronic device provided in the embodiments of the present application are described in detail above. The principle and the implementation of the present application are explained herein by applying specific examples, and the above description of the embodiments is only used to help understand the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (12)

1. A method of noise reduction for an electronic device, the method comprising:
acquiring a first sound signal detected by the first sound receiving assembly and a second sound signal detected by the second sound receiving assembly;
calculating a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal;
determining a main sound receiving component and an environment sound receiving component according to the first signal-to-noise ratio and the second signal-to-noise ratio, wherein the signal-to-noise ratio of the sound signal of the main sound receiving component is greater than that of the sound signal of the environment sound receiving component;
and according to the sound signal of the environment sound receiving assembly, carrying out noise reduction processing on the sound signal of the main sound receiving assembly to obtain a target sound signal.
2. The method of reducing noise in an electronic device of claim 1, wherein before determining the primary sound pickup assembly and the ambient sound pickup assembly according to the first signal-to-noise ratio and the second signal-to-noise ratio, further comprising:
comparing the first signal-to-noise ratio with a first preset threshold value, and comparing the second signal-to-noise ratio with the first preset threshold value;
and when the first signal-to-noise ratio is smaller than a first preset threshold value or the second signal-to-noise ratio is smaller than the first preset threshold value, determining a main sound receiving assembly and an environment sound receiving assembly according to the first signal-to-noise ratio and the second signal-to-noise ratio.
3. The method of noise reduction for an electronic device of claim 2, wherein the comparing the first signal-to-noise ratio to a first predetermined threshold magnitude, and after comparing the second signal-to-noise ratio to the first predetermined threshold magnitude, further comprises:
and when the first signal-to-noise ratio is not less than the first preset threshold value and the second signal-to-noise ratio is not less than the first preset threshold value, processing the first sound signal and the second sound signal according to a beam forming algorithm to obtain a target sound signal.
4. The method for reducing noise of an electronic device according to claim 1, wherein the performing noise reduction processing on the sound signal of the sound pickup assembly according to the sound signal of the environment sound pickup assembly to obtain a target sound signal comprises:
obtaining a target attenuation proportion;
according to the target attenuation proportion, carrying out attenuation processing on the sound signal of the environment sound receiving component;
and subtracting the sound signal of the environment sound receiving component after attenuation processing from the sound signal of the main sound receiving component to obtain a target sound signal.
5. The method of reducing noise of an electronic device according to claim 4, wherein the obtaining a target attenuation ratio comprises:
determining a first sound signal segment from the sound signal of the main sound receiving assembly, and acquiring a first amplitude value of the first sound signal segment;
determining a second sound signal segment from the sound signals of the environment sound receiving assembly, and acquiring a second amplitude value of the second sound signal segment, wherein signals in the first sound signal segment and the second sound signal segment are noise signals;
and obtaining a target attenuation ratio according to the ratio of the first amplitude to the second amplitude.
6. The method of reducing noise in an electronic device according to claim 5, wherein obtaining a target attenuation ratio according to a ratio of the first amplitude to the second amplitude comprises:
calculating a ratio of the first amplitude to the second amplitude;
and when the difference value between the ratio and the preset attenuation ratio is larger than a second preset threshold value, acquiring the ratio in a plurality of continuous historical detection periods, calculating the average value of the ratios, and taking the average value as the target attenuation ratio.
7. The method of reducing noise of an electronic device according to claim 4, wherein the obtaining a target attenuation ratio comprises:
and acquiring a preset attenuation proportion as a target attenuation proportion.
8. The method of noise reduction for an electronic device of claim 1, wherein said calculating a first signal-to-noise ratio for the first acoustic signal comprises:
determining a third sound signal segment from the first sound signal, and acquiring a third amplitude of the third sound signal segment, wherein a signal in the third sound signal segment is a noise signal;
determining a fourth sound signal segment from the first sound signal, and obtaining a fourth amplitude of the fourth sound signal segment, wherein the fourth sound signal segment comprises a sound source signal and a noise signal;
and calculating a first signal-to-noise ratio of the first sound signal according to the third amplitude and the fourth amplitude.
9. The noise reduction method for an electronic device of claim 1, wherein the first sound reception component comprises a plurality of microphones; the acquiring the first sound signal detected by the first sound receiving component comprises:
acquiring a plurality of sound signals detected by the plurality of microphones;
and processing the plurality of sound signals according to a beam forming algorithm to obtain a first sound signal corresponding to the first sound receiving component.
10. An apparatus for reducing noise of an electronic device, the apparatus comprising:
the signal acquisition module is used for acquiring a first sound signal detected by the first sound receiving assembly and a second sound signal detected by the second sound receiving assembly;
the signal-to-noise ratio calculation module is used for calculating a first signal-to-noise ratio of the first sound signal and a second signal-to-noise ratio of the second sound signal;
the component selection module is used for determining a main sound receiving component and an environment sound receiving component according to the first signal-to-noise ratio and the second signal-to-noise ratio, wherein the signal-to-noise ratio of a sound signal of the main sound receiving component is greater than that of a sound signal of the environment sound receiving component;
and the signal processing module is used for carrying out noise reduction processing on the sound signal of the main sound receiving assembly according to the sound signal of the environment sound receiving assembly to obtain a target sound signal.
11. A storage medium having stored thereon a computer program, characterized in that, when the computer program is run on a computer, it causes the computer to execute a noise reduction method of an electronic device according to any one of claims 1 to 9.
12. An electronic device comprising a processor and a memory, the memory storing a computer program, wherein the processor is configured to execute the noise reduction method of the electronic device according to any one of claims 1 to 9 by calling the computer program.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113709288A (en) * 2021-08-16 2021-11-26 Oppo广东移动通信有限公司 Noise reduction method and device, electronic equipment and computer readable storage medium
WO2022028083A1 (en) * 2020-08-07 2022-02-10 Oppo广东移动通信有限公司 Noise reduction method and apparatus for electronic device, storage medium and electronic device
CN115811574A (en) * 2023-02-03 2023-03-17 合肥炬芯智能科技有限公司 Sound signal processing method and device, main equipment and split type conference system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102411936A (en) * 2010-11-25 2012-04-11 歌尔声学股份有限公司 Speech enhancement method and device as well as head de-noising communication earphone
US20130243213A1 (en) * 2012-03-15 2013-09-19 Research In Motion Limited Selective adaptive audio cancellation algorithm configuration
CN103325378A (en) * 2013-07-16 2013-09-25 珠海市魅族科技有限公司 Terminal voice noise reducing method and terminal
CN105513605A (en) * 2015-12-01 2016-04-20 南京师范大学 Voice enhancement system and method for cellphone microphone
CN110839108A (en) * 2019-11-06 2020-02-25 维沃移动通信有限公司 Noise reduction method and electronic equipment
CN111326159A (en) * 2020-03-10 2020-06-23 苏宁云计算有限公司 Voice recognition method, device and system
CN111418010A (en) * 2017-12-08 2020-07-14 华为技术有限公司 Multi-microphone noise reduction method and device and terminal equipment

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110181452A1 (en) * 2010-01-28 2011-07-28 Dsp Group, Ltd. Usage of Speaker Microphone for Sound Enhancement
CN104751853B (en) * 2013-12-31 2019-01-04 辰芯科技有限公司 Dual microphone noise suppressing method and system
CN111933167B (en) * 2020-08-07 2024-03-12 Oppo广东移动通信有限公司 Noise reduction method and device of electronic equipment, storage medium and electronic equipment

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102411936A (en) * 2010-11-25 2012-04-11 歌尔声学股份有限公司 Speech enhancement method and device as well as head de-noising communication earphone
US20130243213A1 (en) * 2012-03-15 2013-09-19 Research In Motion Limited Selective adaptive audio cancellation algorithm configuration
CN103325378A (en) * 2013-07-16 2013-09-25 珠海市魅族科技有限公司 Terminal voice noise reducing method and terminal
CN105513605A (en) * 2015-12-01 2016-04-20 南京师范大学 Voice enhancement system and method for cellphone microphone
CN111418010A (en) * 2017-12-08 2020-07-14 华为技术有限公司 Multi-microphone noise reduction method and device and terminal equipment
CN110839108A (en) * 2019-11-06 2020-02-25 维沃移动通信有限公司 Noise reduction method and electronic equipment
CN111326159A (en) * 2020-03-10 2020-06-23 苏宁云计算有限公司 Voice recognition method, device and system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022028083A1 (en) * 2020-08-07 2022-02-10 Oppo广东移动通信有限公司 Noise reduction method and apparatus for electronic device, storage medium and electronic device
CN113709288A (en) * 2021-08-16 2021-11-26 Oppo广东移动通信有限公司 Noise reduction method and device, electronic equipment and computer readable storage medium
CN115811574A (en) * 2023-02-03 2023-03-17 合肥炬芯智能科技有限公司 Sound signal processing method and device, main equipment and split type conference system

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