CN116939428B - Headset device, wind noise suppression method, and computer-readable storage medium - Google Patents

Abstract

The invention relates to the technical field of noise reduction, in particular to earphone equipment, a wind noise suppression method and a computer readable storage medium, wherein at least one microphone and a buffer cavity corresponding to the position of the microphone on an earphone shell are respectively arranged on a first earphone and a second earphone of the earphone equipment, two ends of the buffer cavity are respectively covered with an external protective net exposed in an external environment and an internal protective net attached to the surface of the microphone, the cavity of the buffer cavity comprises an external cavity close to the external protective net and an internal cavity close to the internal protective net, and the aperture of the external cavity is larger than that of the internal cavity. The invention realizes the improvement of the wind noise suppression effect under the condition of not adjusting the size and the appearance of the earphone equipment.

Description

Headset device, wind noise suppression method, and computer-readable storage medium

Technical Field

The present invention relates to the field of noise reduction technologies, and in particular, to an earphone device, a wind noise suppression method, and a computer readable storage medium.

Background

Wind noise is a noise signal generated by interaction between air flow and obstacles (such as buildings, human bodies, microphone cavities and the like), is the most common noise in the outdoor pickup process, and can reach 80dB under many conditions, so that voice signals can be completely covered, and the pickup quality of a user when using earphone equipment is seriously affected. At present, wind noise is reduced mainly by reducing the size of the earphone device, or designing the earphone device into a streamline shape or wrapping a wind shield outside the earphone device, but the method is limited by the structure and application scene of the earphone device.

Disclosure of Invention

The main object of the present invention is to provide a headphone apparatus, a wind noise suppression method, and a computer-readable storage medium, which aim to improve the effect of wind noise suppression without adjusting the size and the shape of the headphone apparatus.

In order to achieve the above object, the present invention further provides an earphone device, wherein at least one microphone and a buffer cavity corresponding to the position of the microphone on an earphone shell are respectively disposed on a first earphone and a second earphone of the earphone device, two ends of the buffer cavity are respectively covered with an external protection net exposed in an external environment and an internal protection net attached to the surface of the microphone, and a cavity of the buffer cavity comprises an external cavity close to the external protection net and an internal cavity close to the internal protection net, and the aperture of the external cavity is larger than that of the internal cavity.

Optionally, the external protection net comprises at least two layers of buffer nets, and the buffer net exposed in the external environment in the at least two layers of buffer nets is a wind speed reduction metal net or a metal stamping sheet with an inner woven net attached.

Further, to achieve the above object, the present invention provides a wind noise suppression method applied to an earphone device as described above, the method comprising the steps of:

Acquiring a first ambient sound signal picked up by a microphone on the first earphone and acquiring a second ambient sound signal picked up by a microphone on the second earphone;

determining a strong wind noise sound signal and a weak wind noise sound signal from the first environment sound signal and the second environment sound signal, wherein the pick-up direction of the strong wind noise sound signal is consistent with the source direction of the wind noise signal, and the pick-up direction of the weak wind noise sound signal is inconsistent with the source direction of the wind noise signal;

superposing a high-frequency signal in the strong wind noise sound signal and a low-frequency signal in the weak wind noise sound signal to obtain a wind noise suppression signal, wherein the low-frequency signal is smaller than a preset frequency, and the high-frequency signal is larger than or equal to the preset frequency;

and outputting the wind noise suppression sound signal by using a loudspeaker on the earphone which picks up the strong wind noise sound signal in the first earphone and the second earphone, and outputting the weak wind noise sound signal by using a loudspeaker on the earphone which picks up the weak wind noise sound signal in the first earphone and the second earphone.

Optionally, before the step of determining the strong wind noise sound signal and the weak wind noise sound signal from the first environmental sound signal and the second environmental sound signal, the method further comprises:

Detecting whether wind noise signals exist in the first environment sound signal and the second environment sound signal;

and if the wind noise signal exists in the first environment sound signal and the second environment sound signal, executing the step of determining a strong wind noise sound signal and a weak wind noise sound signal from the first environment sound signal and the second environment sound signal.

Optionally, the step of detecting whether a wind noise signal exists in the first and second environmental sound signals includes:

determining a sub-band signal with the largest signal energy from each first sub-band signal and each second sub-band signal, and determining an environmental sound signal corresponding to the sub-band signal with the largest signal energy as a target environmental sound signal, wherein each first sub-band signal is obtained by dividing the first environmental sound signal according to a first preset bandwidth, and each second sub-band signal is obtained by dividing the second environmental sound signal according to the first preset bandwidth;

detecting whether a wind noise signal exists in the target environment sound signal;

if the wind noise signal exists in the target environment sound signal, determining that the wind noise signal exists in the first environment sound signal and the second environment sound signal;

And if the wind noise signal does not exist in the target environment sound signal, determining that the wind noise signal does not exist in the first environment sound signal and the second environment sound signal.

Optionally, the step of detecting whether a wind noise signal exists in the target environmental sound signal includes:

calculating a first signal energy average value of each sub-band signal corresponding to a preset wind noise frequency band in each sub-band signal of the target environment sound signal, and calculating a second signal energy average value of each sub-band signal corresponding to a low-frequency band in each sub-band signal of the target environment sound signal, wherein the upper limit frequency of the low-frequency band is equal to the lower limit frequency of the wind noise frequency band;

calculating a first energy difference value between the first signal energy mean value and the second signal energy mean value, and detecting whether the first energy difference value is in a preset first energy range;

if the first energy difference value is in the first energy range, calculating a signal energy standard deviation between sub-band signals corresponding to the wind noise frequency band in the target environment sound signal, and detecting whether the signal energy standard deviation is smaller than a preset first energy threshold value;

If the signal energy standard deviation is smaller than the first energy threshold, determining that a wind noise signal exists in the target environment sound signal;

and if the standard deviation is greater than or equal to the first energy threshold, determining that no wind noise signal exists in the target environment sound signal.

Optionally, after the step of detecting whether a wind noise signal exists in the first environmental sound signal and the second environmental sound signal, the method further includes:

if the wind noise signal exists in the first environment sound signal and the second environment sound signal, detecting whether the minimum signal energy in the signal energy of each third sub-band signal and the signal energy of each fourth sub-band signal is larger than a preset second energy threshold value, wherein each third sub-band signal is obtained by dividing the first environment sound signal according to a second preset bandwidth, and each fourth sub-band signal is obtained by dividing the second environment sound signal according to the second preset bandwidth;

and if the minimum signal energy is greater than the second energy threshold, the step of determining a strong wind noise sound signal and a weak wind noise sound signal from the first environmental sound signal and the second environmental sound signal is performed.

Optionally, the step of determining a strong wind noise sound signal and a weak wind noise sound signal from the first ambient sound signal and the second ambient sound signal comprises:

determining a minimum value in signal energy of each fifth sub-band signal as first signal energy, and determining a minimum value in signal energy of each sixth sub-band signal as second signal energy, wherein each fifth sub-band signal is obtained by dividing the first environmental sound signal according to a third preset bandwidth, and each sixth sub-band signal is obtained by dividing the second environmental sound signal according to the third preset bandwidth;

calculating the first signal energy minus the second signal energy to obtain a second energy difference;

if the second energy difference value is larger than the maximum value in a preset second energy range, determining the first environment sound signal as the strong wind noise sound signal, and determining the second environment sound signal as the weak wind noise sound signal;

and if the second energy difference value is smaller than the minimum value in the second energy range, determining the second environment sound signal as the strong wind noise sound signal and the first environment sound signal as the weak wind noise sound signal.

Optionally, when the earphone device is in the secondary listening enhancement mode, the step of determining the minimum value of the signal energies of the respective fifth subband signals as the first signal energy and the minimum value of the signal energies of the respective sixth subband signals as the second signal energy includes:

the same frequency band between a preset wind noise frequency band and a preset auxiliary hearing enhancement frequency band is determined to be a target frequency band;

and determining the minimum value of the signal energy of each fifth sub-band signal corresponding to the target frequency band as first signal energy, and determining the minimum value of the signal energy of each sixth sub-band signal corresponding to the target frequency band as second signal energy.

In addition, in order to achieve the above object, the present invention also proposes a computer-readable storage medium having stored thereon a wind noise suppression program which, when executed by a processor, implements the steps of the wind noise suppression method as described above.

In the invention, at least one microphone and a buffer cavity corresponding to the position of the microphone are respectively arranged on a first earphone and a second earphone of the earphone equipment, two ends of the buffer cavity are respectively covered with an external protective net exposed in the external environment and an internal protective net attached to the surface of the microphone, the cavity of the buffer cavity comprises an external cavity close to the external protective net and an internal cavity close to the internal protective net, and the aperture of the external cavity is larger than that of the internal cavity.

According to the invention, the buffer cavity corresponding to the position of the microphone is arranged on the earphone shell, wind noise turbulence near the microphone is dispersed through the external protective net of the buffer cavity, wind noise is attenuated, the aperture of the outer cavity is larger than that of the inner cavity, a section of cavity wall exists at the joint of the inner cavity and the outer cavity, wind noise turbulence is dispersed at the joint of the inner cavity and the outer cavity, and wind noise is further attenuated, so that the wind noise suppression effect is improved under the condition that the size and the appearance of earphone equipment are not adjusted.

Drawings

Fig. 1 is a schematic structural diagram of an earphone device according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a buffer chamber according to an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a buffer chamber according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of wind noise suppression effect of a buffer cavity according to an embodiment of the present invention;

FIG. 5 is a flowchart of a wind noise suppression method according to a first embodiment of the present invention;

fig. 6 is a schematic flow chart of an embodiment of a wind noise suppression method according to the present invention.

The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

As shown in fig. 1, fig. 1 is a schematic diagram of a device structure of a hardware operating environment according to an embodiment of the present invention, in this embodiment, the headset device 1 in fig. 1 includes a first headset 11 and a second headset 12, where at least one microphone 111 is disposed on the first headset 11 and a buffer cavity 112 corresponding to a position of the microphone 111 on the headset housing is disposed on the second headset 12 corresponding to the first headset, and at least one microphone 111 and a buffer cavity 112 corresponding to a position of the microphone 111 on the headset housing are disposed on the second headset 12 corresponding to the second headset.

Specifically, as shown in fig. 2, the buffer chamber 112 is an open channel with two ends covered with a protection net, one end of the buffer chamber 112 is covered with an external protection net 1121 exposed to the external environment, and the other end of the buffer chamber 112 is covered with an internal protection net 1122 attached to the surface of the microphone 111. Wind noise turbulence near the microphone is dispersed through the external protective net of the buffer cavity, and the wind noise is attenuated. In a specific possible embodiment, the external protection net may have a single-layer structure or a multi-layer structure, and a layer structure of the external protection net exposed to the external environment (hereinafter referred to as a buffer net for illustrating distinction) is a wind speed reduction metal net or a metal punched sheet with an inner woven net attached thereto, wherein the woven net may be made of nylon, terylene or polypropylene materials, or may be made of a sponge or other materials, which is not limited herein.

In one possible embodiment, the internal guard mesh 1122 may be a tuning mesh for modifying the frequency response of the microphone; in another possible embodiment, a woven mesh may also be employed; in another possible embodiment, the material of the inner protection net may be identical to that of the outer protection net, which is not limited herein.

The cavity of the buffer cavity 112 includes an outer cavity 1123 adjacent to the outer protection network and an inner cavity 1124 adjacent to the inner protection network, the outer cavity having a larger aperture than the inner cavity. The outer cavity 1123 and the inner cavity 1124 are communicated, and the aperture at the joint of the outer cavity 1123 and the inner cavity 1124 is the aperture of the inner cavity 1124 because the aperture of the outer cavity is larger than the aperture of the inner cavity. The aperture of the outer cavity is larger than that of the inner cavity, so that a section of cavity wall exists at the joint of the inner cavity and the outer cavity, wind noise turbulence is dispersed at the joint of the inner cavity and the outer cavity, wind noise is further attenuated, and the wind noise suppression effect is improved under the condition that the size and the appearance of the earphone equipment are not adjusted.

Further, in a possible implementation, referring to fig. 3, the external protection net 1121 includes at least two layers of buffer nets, and the buffer net exposed to the external environment in the at least two layers of buffer nets is a wind speed reduction metal net or a metal punched sheet with an inner woven net attached thereto, where the woven net may be made of nylon, terylene or polypropylene. Further, in a possible embodiment, the at least two layers of buffer nets not exposed to the external environment may be woven nets made of nylon, terylene or polypropylene, or may be made of other materials, or may be made of the same materials as the buffer nets exposed to the external environment, which is not limited herein. In this embodiment, through the protection network structure of multilayer buffer network, can further break up wind noise turbulent flow, attenuate wind noise, improve wind noise suppression effect. In this embodiment, referring to fig. 4, curve 1 in fig. 4 is a frequency response curve of a sound signal picked up by an earphone device using a single external protection net and a buffer cavity with a single aperture, and curve 2 is an earphone device using a multi-layer external protection net and a buffer cavity with an aperture of an external cavity larger than that of an internal cavity, and the wind noise suppression effect of curve 2 is significantly better than that of curve 1 as can be seen from fig. 4.

Based on the above-described structure, various embodiments of a wind noise suppression method are presented.

Referring to fig. 5, fig. 5 is a flowchart illustrating a wind noise suppression method according to a first embodiment of the present invention.

Embodiments of the present invention provide embodiments of wind noise suppression methods, it being noted that although a logic sequence is shown in the flow diagrams, in some cases the steps shown or described may be performed in a different order than that shown or described herein. In this embodiment, the execution subject of the wind noise suppression method may be the earphone device proposed in the above embodiment, or may be an intelligent device that establishes a communication connection with the earphone device, for example, an intelligent glasses, a head-mounted display device, a smart phone, a personal computer, a server, or the like, which is not limited in this embodiment, and the explanation of each embodiment by the execution subject is omitted for convenience of description. In this embodiment, the wind noise suppression method includes:

step S10, acquiring a first ambient sound signal picked up by a microphone on the first earphone and acquiring a second ambient sound signal picked up by a microphone on the second earphone;

in this embodiment, because the positions and distances of the two headphones of the headphone device relative to the sound source of the wind noise signal are different, the signal intensities of the wind noise signals in the environment sound signals picked up by the two headphones after passing through the buffer cavity of the headphone device are different, in order to make the listening feel provided by the two headphones similar when the user uses the headphone device, the user experience feel is improved.

Specifically, in the present embodiment, an ambient sound signal picked up by a microphone on a first earphone is referred to as a first ambient sound, and a sound signal in an external environment picked up by a microphone on a second earphone is referred to as a second ambient sound signal. A first ambient sound signal and a second ambient sound signal are acquired.

Step S20, determining a strong wind noise sound signal and a weak wind noise sound signal from the first environment sound signal and the second environment sound signal, wherein the pick-up direction of the strong wind noise sound signal is consistent with the source direction of the wind noise signal, and the pick-up direction of the weak wind noise sound signal is inconsistent with the source direction of the wind noise signal;

when the earphone device picks up the environmental sound signal, wind noise in the environmental sound signal may be closer to one of the earphone devices, for example, when the source direction of the wind noise signal is the left side of the user and coincides with the pickup direction of the left earphone, at this time, the signal intensity of the wind noise signal in the environmental sound signal picked up by the left earphone is greater than that of the environmental sound signal picked up by the right earphone. In this embodiment, an ambient sound signal whose pickup direction is identical to the source direction of the wind noise signal is referred to as a strong wind noise signal, and an ambient sound signal whose pickup direction is not identical to the source direction of the wind noise signal is referred to as a weak ambient sound signal.

A strong wind noise sound signal and a weak wind noise sound signal are determined from the first ambient sound signal and the second ambient sound signal. In a possible implementation, the strong wind noise signal and the weak wind noise signal may be determined based on the magnitude of signal energy in a wind noise band in the ambient sound signal; in another possible implementation manner, a sound source position of the wind noise signal is determined based on the binaural effect, and a strong wind noise sound signal and a weak wind noise sound signal are determined according to the sound source position and respective positions of the first earphone and the second earphone in the earphone device; in another possible implementation manner, the sound source position of the noise signal may be determined according to the sound source positioning technology of the microphone array, and the strong wind noise sound signal and the weak wind noise sound signal may be determined according to the sound source position and the respective positions of the first earphone and the second earphone in the earphone device, which may specifically be set according to actual requirements, and is not limited herein.

Step S30, a high-frequency signal in the strong wind noise sound signal and a low-frequency signal in the weak wind noise sound signal are overlapped to obtain a wind noise suppression signal, wherein the low-frequency signal is smaller than a preset frequency, and the high-frequency signal is larger than or equal to the preset frequency;

Because the wind noise signal is characterized by low frequency, in this embodiment, the low frequency signal in the weak wind noise signal and the high frequency signal in the strong wind noise signal are superimposed to obtain the wind noise suppression signal. The implementation keeps the low-noise signals in the sound signals output by the first earphone and the second earphone consistent, namely, the signal intensity of the wind noise signals is kept consistent, unbalance in hearing feeling of a user caused by overlarge signal intensity of the wind noise signals heard by one ear of the user is avoided, the high-frequency signals in the strong wind noise sound signals are maintained, information in the strong wind noise sound signals is kept as much as possible, important information is prevented from being missed by the user, and user experience is improved.

And S40, outputting the wind noise suppression sound signal by using a loudspeaker on the earphone picking up the strong wind noise sound signal in the first earphone and the second earphone, and outputting the weak wind noise sound signal by using a loudspeaker on the earphone picking up the weak wind noise sound signal in the first earphone and the second earphone.

In this embodiment, the speaker on the earphone that picks up the strong wind noise sound signal out of the first earphone and the second earphone is used to output the wind noise suppression sound signal, and the speaker on the earphone that picks up the weak wind noise sound signal out of the first earphone and the second earphone is used to output the weak wind noise sound signal.

According to the embodiment, the signal intensity of the wind noise signals output by the first earphone and the second earphone is kept consistent, unbalance of hearing feeling of a user caused by overlarge wind noise signals heard by one ear of the user is avoided, high-frequency signals in the strong wind noise sound signals are maintained, information in the strong wind noise sound signals is kept as much as possible, the information of the sound signals is complete, important information missed by the user is avoided, and therefore user experience feeling is improved. In addition, the earphone device is prevented from outputting high-strength wind noise signals, and the wind noise suppression effect is further improved.

Further, in a possible embodiment, the step S30 includes:

step S301, determining a minimum value in signal energy of each fifth subband signal as a first signal energy, and determining a minimum value in signal energy of each sixth subband signal as a second signal energy, where each fifth subband signal is obtained by dividing the first environmental sound signal according to a third preset bandwidth, and each sixth subband signal is obtained by dividing the second environmental sound signal according to the third preset bandwidth;

in this embodiment, the strong wind noise signal and the weak wind noise signal are determined from the first environmental sound signal and the second environmental sound signal based on the characteristic that the wind noise signal has high energy, based on the signal energy of the environmental sound signal.

Specifically, in this embodiment, the first ambient sound signal is subjected to the frequency division processing according to a preset bandwidth (hereinafter referred to as a third preset bandwidth to show distinction), and a plurality of fifth subband signals are obtained. And carrying out frequency division processing on the second environment sound signal according to the third preset bandwidth to obtain a plurality of sixth sub-band signals. The third preset band frame can be set according to actual requirements, and is not limited herein, and the frequency division band processing can be completed through a filter, which is not described herein.

In the present embodiment, the minimum value of the signal energies of the respective fifth subband signals is determined as the first signal energy, and the minimum value of the signal energies of the respective sixth subband signals is determined as the second signal energy.

Step S302, calculating the first signal energy minus the second signal energy to obtain a second energy difference value;

the difference obtained by subtracting the second signal energy from the first signal energy is called the second energy difference.

Step S303, if the second energy difference value is greater than the maximum value in the preset second energy range, determining the first ambient sound signal as the strong wind noise sound signal, and determining the second ambient sound signal as the weak wind noise sound signal;

In the present embodiment, the range of the energy difference is set in advance, and hereinafter referred to as a second energy range to show distinction. If the second energy difference value is greater than the maximum value in the preset second energy range, determining that the minimum subband signal energy of the first environmental sound signal is greater than the minimum subband signal energy in the second environmental sound signal, that is, the signal energy of the first environmental sound signal is greater than the signal energy of the second environmental sound signal, and considering that the signal intensity of the wind noise signal in the first environmental sound signal is greater than the wind noise signal in the second environmental sound signal at this time, that is, the first environmental sound signal is a strong wind noise signal, and the second environmental sound signal is a weak wind noise signal.

Step S304, if the second energy difference is smaller than the minimum value in the second energy range, determining the second ambient sound signal as the strong wind noise sound signal, and determining the first ambient sound signal as the weak wind noise sound signal.

If the second energy difference value is smaller than the minimum value in the preset second energy range, determining that the minimum subband signal energy of the second environmental sound signal is larger than the minimum subband signal energy in the first environmental sound signal, that is, the signal energy of the second environmental sound signal is larger than the signal energy of the first environmental sound signal, and considering that the signal intensity of the wind noise signal in the second environmental sound signal is larger than the wind noise signal in the first environmental sound signal, that is, the second environmental sound signal is a strong wind noise signal, and the first environmental sound signal is a weak wind noise signal.

Further, in a possible embodiment, if the second energy difference is within the second energy range, it is determined that the signal energy between the first environmental sound signal and the second environmental sound signal is not too great a difference, that is, the difference such as the azimuth distance between the sound source position of the wind noise signal and the first earphone and the azimuth distance between the wind noise signal and the second earphone is not great, where the signal intensity of the wind noise signal in the first environmental sound signal is considered to be equal to the wind noise signal in the second environmental sound signal, the hearing difference provided by the first earphone and the second earphone is not great, and wind noise suppression processing may not be performed, where the first environmental sound signal is played through the speaker on the first earphone and the second environmental sound signal is played through the speaker on the second earphone.

Compared with the mode of determining the strong wind noise sound signal and the weak wind noise sound signal through threshold judgment, the wind noise suppression processing is performed when the wind noise signal strength difference between the first environment sound signal and the second environment sound signal is obvious, the processing amount of wind noise suppression is reduced, the processing efficiency of wind noise suppression is improved, and therefore user experience is improved.

Further, in a possible implementation, the earphone device supports the hearing assistance enhancement mode, and the step S301 includes:

Step S3011, determining the same frequency band between a preset wind noise frequency band and a preset hearing enhancement frequency band as a target frequency band;

in the auxiliary hearing enhancement mode, signal enhancement is performed on signals in a preset frequency band (hereinafter referred to as an auxiliary hearing enhancement frequency band for distinguishing) in the environmental sound signals, so that a user can hear the sound signals in the auxiliary hearing enhancement frequency band more clearly, for example, when the user is a weak hearing user, the auxiliary hearing enhancement mode can enable the user to have more clear hearing experience. The secondary hearing enhancement frequency band may be set according to actual requirements, and in a possible embodiment, the secondary hearing enhancement frequency band may be set as a voice frequency band.

In this embodiment, a wind noise stable frequency band is preset, and the wind noise stable frequency band can be obtained in advance through a wind box experiment, or can be set according to the actual demands of users. For example, in a possible implementation, the preset wind noise band may be 500-4000 hz.

Specifically, the same frequency band between the preset wind noise frequency band and the preset auxiliary hearing enhancement frequency band is determined as the target frequency band.

Step S3012, determining a minimum value in signal energies of the fifth subband signals corresponding to the target frequency band as a first signal energy, and determining a minimum value in signal energies of the sixth subband signals corresponding to the target frequency band as a second signal energy.

And determining the minimum value in the signal energy of each fifth sub-band signal corresponding to the target frequency band as the first signal energy, and determining the minimum value in the signal energy of each sixth sub-band signal corresponding to the target frequency band as the second signal energy.

According to the embodiment, in the wind noise suppression process, the strong wind noise sound signal and the weak wind noise sound signal are determined according to the frequency band signal energy of the same frequency band between the wind noise frequency band and the hearing assisting enhancement frequency band, the signal intensity of the wind noise signal and the hearing assisting enhancement requirement are considered, and the hearing experience of a user is improved.

In this embodiment, a first ambient sound signal picked up by a microphone on a first earphone is obtained, and a second ambient sound signal picked up by a microphone on a second earphone is obtained; determining a strong wind noise sound signal and a weak wind noise sound signal from the first environment sound signal and the second environment sound signal, wherein the pick-up direction of the strong wind noise sound signal is consistent with the source direction of the wind noise signal, and the pick-up direction of the weak wind noise sound signal is inconsistent with the source direction of the wind noise signal; superposing a high-frequency signal in the strong wind noise sound signal and a low-frequency signal in the weak wind noise sound signal to obtain a wind noise suppression signal, wherein the low-frequency signal is smaller than a preset frequency, and the high-frequency signal is larger than or equal to the preset frequency; the loudspeaker on the earphone which picks up the strong wind noise sound signal in the first earphone and the second earphone is used for outputting the wind noise suppression sound signal, and the loudspeaker on the earphone which picks up the weak wind noise sound signal in the first earphone and the second earphone is used for outputting the weak wind noise sound signal.

According to the embodiment, the signal intensity of the wind noise signals output by the first earphone and the second earphone is kept consistent, unbalance of hearing feeling of a user caused by overlarge wind noise signals heard by one ear of the user is avoided, high-frequency signals in the strong wind noise sound signals are maintained, information in the strong wind noise sound signals is kept as much as possible, the information of the sound signals is complete, important information missed by the user is avoided, and therefore user experience feeling is improved. In addition, the earphone device is prevented from outputting high-strength wind noise signals, and the wind noise suppression effect is further improved.

Further, based on the first embodiment, a second embodiment of the wind noise suppression method according to the present invention is provided, and in this embodiment, before the step S30, the method further includes:

step S50, detecting whether wind noise signals exist in the first environment sound signal and the second environment sound signal;

the buffer cavity of the earphone device can achieve the effect of suppressing wind noise, when the signal intensity of wind noise signals in the external environment is smaller, the wind noise signals may be suppressed to be hardly audible to a user in the buffer cavity of the earphone device, therefore, in the embodiment, before wind noise suppression is performed on the environmental sound signals picked up by the earphone device, whether wind noise signals exist in the first environmental sound signals and the second environmental sound signals is detected, when wind noise signals do not exist in the first environmental sound signals and the second environmental sound signals, wind noise suppression processing is not performed, so that processing steps of wind noise suppression are reduced, signal delay of sound signals output by the earphone device is reduced, and hearing experience of the user is improved.

Specifically, whether a wind noise signal exists in the first environmental sound signal and the second environmental sound signal is detected. In a possible implementation manner, whether wind noise signals exist in the first environment sound signal and the second environment sound signal or not can be detected; in another possible embodiment, the wind noise signal detection may be performed on a sound signal with high signal energy in the first and second environmental sound signals based on the characteristic that the wind noise signal has high energy, and if the wind noise signal exists in the sound signal with high signal energy, the wind noise signal is considered to exist in the first and second environmental sound signals. The specific wind noise signal detection method is not limited herein, and reference may be made to a conventional wind noise signal detection method.

Step S60, if the wind noise signal exists in the first and second environmental sound signals, executing the step of determining a strong wind noise signal and a weak wind noise signal from the first and second environmental sound signals.

If wind noise signals exist in the first environment sound signal and the second environment sound signal, wind noise suppression processing is carried out on the environment sound signals, namely, the step of determining strong wind noise sound signals and weak wind noise sound signals from the first environment sound signals and the second environment sound signals is carried out.

Further, in a possible embodiment, step S50 includes:

step S501, determining a sub-band signal with the largest signal energy from each first sub-band signal and each second sub-band signal, and determining an environmental sound signal corresponding to the sub-band signal with the largest signal energy as a target environmental sound signal, where each first sub-band signal is obtained by dividing the first environmental sound signal according to a first preset bandwidth, and each second sub-band signal is obtained by dividing the second environmental sound signal according to the first preset bandwidth;

in this embodiment, wind noise signal detection is performed on a sound signal with large signal energy in the first and second environmental sound signals, so as to reduce the processing amount of detection processing and improve the processing efficiency.

Specifically, a subband signal having the largest signal energy is determined from each of the first subband signals and each of the second subband signals, and an ambient sound signal corresponding to the subband signal having the largest signal energy is determined as a target ambient sound signal. The first sub-band signals are obtained by dividing the first environmental sound signals according to a first preset bandwidth, and the second sub-band signals are obtained by dividing the second environmental sound signals according to the first preset bandwidth. The first preset bandwidth may be set according to actual requirements, which is not limited herein.

Step S502, detecting whether a wind noise signal exists in the target environment sound signal;

and detecting whether a wind noise signal exists in the target environment sound signal. Specifically, in a possible implementation manner, whether the wind noise signal exists in the target environmental sound signal or not may be detected based on the characteristic that the wind noise signal has high energy; in another possible implementation manner, whether the wind noise signal exists in the target environmental sound signal may be detected based on the characteristic that the continuity of the wind noise signal in the time domain is weaker than the continuity of the voice signal in the time domain, or may be detected by other possible detection manners, which is not limited herein.

Step S503, if a wind noise signal exists in the target environmental sound signal, determining that a wind noise signal exists in the first environmental sound signal and the second environmental sound signal;

and if the wind noise signal exists in the target environment sound signal, determining that the wind noise signal exists in the first environment sound signal and the second environment sound signal.

Step S504, if the wind noise signal does not exist in the target ambient sound signal, determining that the wind noise signal does not exist in the first ambient sound signal and the second ambient sound signal.

And if the wind noise signal does not exist in the target environment sound signal, determining that the wind noise signal does not exist in the first environment sound signal and the second environment sound signal.

Further, in a possible implementation manner, the step S502 includes:

step S5021, calculating a first signal energy average value of each sub-band signal corresponding to a preset wind noise frequency band in each sub-band signal of the target environment sound signal, and calculating a second signal energy average value of each sub-band signal corresponding to a low frequency band in each sub-band signal of the target environment sound signal, wherein the upper limit frequency of the low frequency band is equal to the lower limit frequency of the wind noise frequency band;

in this embodiment, whether or not a wind noise signal exists in the target environmental sound signal is detected based on the characteristic that the wind noise signal has high energy.

Specifically, a first signal energy average value of each sub-band signal corresponding to a preset wind noise frequency band in each sub-band signal of the target environmental sound signal is calculated, and a second signal energy average value of each sub-band signal corresponding to a low frequency band in each sub-band signal of the target environmental sound signal is calculated, wherein the upper limit frequency of the low frequency band is equal to the lower limit frequency of the wind noise frequency band.

Step S5022, calculating a first energy difference value between the first signal energy mean value and the second signal energy mean value, and detecting whether the first energy difference value is within a preset first energy range;

and calculating a first energy difference value between the first signal energy mean value and the second signal energy mean value, and detecting whether the first energy difference value is in a preset first energy range.

Step S5023, if the first energy difference value is within the first energy range, calculating a signal energy standard deviation between sub-band signals corresponding to the wind noise frequency band in the target environmental sound signal, and detecting whether the signal energy standard deviation is smaller than a preset first energy threshold;

if the first energy difference is within the first energy range, the signal energy of the wind noise band is considered to be greater than the signal energy of the low frequency band, that is, the sound signal of the wind noise band in the target environment sound signal may be the wind noise signal, at this time, the signal energy standard deviation between the sub-band signals corresponding to the wind noise band in the target environment sound signal is calculated, and whether the signal energy standard deviation is smaller than a preset first energy threshold is detected to determine whether the signal energy of each sub-band signal corresponding to the wind noise band is stable.

Step S5024, if the signal energy standard deviation is smaller than the first energy threshold, determining that a wind noise signal exists in the target environmental sound signal;

if the signal energy standard deviation is smaller than the first energy threshold, determining that the signal energy of each sub-band signal corresponding to the wind noise frequency band is stable, namely, the sound signal of the wind noise frequency band in the target environment sound signal is the wind noise signal and continuously exists, and considering that the wind noise signal exists in the target environment sound signal.

Step S5025, if the standard deviation is greater than or equal to the first energy threshold, determining that a wind noise signal does not exist in the target environmental sound signal.

If the standard deviation is greater than or equal to the first energy threshold, determining that the signal energy of each sub-band signal corresponding to the wind noise frequency band is unstable, namely, the sound signal of the wind noise frequency band in the target environment sound signal is the wind noise signal but is instantaneously present, and considering that the wind noise signal does not exist in the target environment sound signal.

Further, in a possible embodiment, after the step S50, the method further includes:

step S70, if the wind noise signal exists in the first environmental sound signal and the second environmental sound signal, detecting whether the minimum signal energy in the signal energy of each third sub-band signal and the signal energy of each fourth sub-band signal is greater than a preset second energy threshold, where each third sub-band signal is obtained by dividing the first environmental sound signal according to a second preset bandwidth, and each fourth sub-band signal is obtained by dividing the second environmental sound signal according to the second preset bandwidth;

In this embodiment, after determining that the wind noise signal exists in the first environmental sound signal and the second environmental sound signal, it is detected whether the signal energy of the wind noise signal is greater than a preset threshold, that is, a second energy threshold, so as to determine whether wind noise suppression is required.

Specifically, if wind noise signals exist in the first environmental sound signal and the second environmental sound signal, detecting whether the minimum signal energy in the signal energy of each third sub-band signal and the signal energy of each fourth sub-band signal is greater than a preset second energy threshold, wherein each third sub-band signal is obtained by dividing the first environmental sound signal according to a second preset bandwidth, and each fourth sub-band signal is obtained by dividing the second environmental sound signal according to the second preset bandwidth.

It should be noted that the values of the first preset bandwidth, the second preset bandwidth and the third preset bandwidth may be the same or different, and are not limited herein.

And step S80, if the minimum signal energy is larger than the second energy threshold value, the step of determining a strong wind noise sound signal and a weak wind noise sound signal from the first environment sound signal and the second environment sound signal is executed.

If the minimum signal energy is greater than the second energy threshold, it is determined that the wind noise signal energy is greater, and wind noise suppression is required at this time, that is, the step of determining the strong wind noise signal and the weak wind noise signal from the first environmental sound signal and the second environmental sound signal is performed.

In this embodiment, whether a wind noise signal exists in the first environmental sound signal and the second environmental sound signal is detected; and if the wind noise signal exists in the first environment sound signal and the second environment sound signal, executing the step of determining the strong wind noise signal and the weak wind noise signal from the first environment sound signal and the second environment sound signal. According to the embodiment, wind noise suppression processing is performed when wind noise signals exist in the first environment sound signal and the second environment sound signal, so that processing steps of wind noise suppression are reduced, signal delay of sound signals output by the earphone device is reduced, and hearing experience of a user is improved.

Further, in a possible embodiment, referring to fig. 6, the process of noise suppression in this embodiment may be:

step 1: the first ambient sound signal picked up by the first earphone (i.e., the left ear microphone shown in fig. 6) is low-pass filtered, and the second ambient sound signal picked up by the second earphone (i.e., the right ear microphone shown in fig. 6) is low-pass filtered to extract wind noise in the ambient sound signal.

Step 2: RMS (Root Mean Square) calculation results in signal energy of each subband signal of the filtered first ambient sound signal and signal energy of each subband signal of the filtered second ambient sound signal.

Step 3: and judging wind noise. Specifically, the first and second filtered ambient sound signals are subjected to downsampling or narrowband filtering to reduce the amount of computation in the subsequent processing. Wind noise frequency bands which are relatively stable in wind noise and are determined based on experimental environments of earphone equipment wind boxes can be 500-4000 Hz.

Determining a sub-band signal with the largest signal energy from the first sub-band signals and the second sub-band signals, and determining an environmental sound signal corresponding to the sub-band signal with the largest signal energy as a target environmental sound signal, wherein each first sub-band signal is obtained by dividing the filtered first environmental sound signal according to a first preset bandwidth, and each second sub-band signal is obtained by dividing the filtered second environmental sound signal according to the first preset bandwidth.

And calculating a first signal energy average value of each sub-band signal corresponding to a preset wind noise frequency band in each sub-band signal of the target environment sound signal, and calculating a second signal energy average value of each sub-band signal corresponding to a low-frequency band in each sub-band signal of the target environment sound signal, wherein the upper limit frequency of the low-frequency band is equal to the lower limit frequency of the wind noise frequency band.

Calculating a first energy difference value between the first signal energy mean value and the second signal energy mean value, and detecting whether the first energy difference value is in a preset first energy range; if the first energy difference is in the first energy range, calculating the signal energy standard deviation between sub-band signals corresponding to the wind noise frequency band in the target environment sound signal, and detecting whether the signal energy standard deviation is smaller than a preset first energy threshold; if the signal energy standard deviation is smaller than the first energy threshold value, determining that a wind noise signal exists in the target environment sound signal; if the standard deviation is greater than or equal to the first energy threshold, it is determined that no wind noise signal is present in the target ambient sound signal, at which time the filtered first ambient sound signal (i.e., the rms_min_l path shown in fig. 6) is played through the left ear speaker, and the filtered second ambient sound signal (i.e., the rms_min_r path shown in fig. 6) is played through the right ear speaker.

Step 4: and after wind noise exists in the current scene, wind noise energy judgment is carried out. Specifically, detecting whether the minimum signal energy in the signal energy of each third sub-band signal and the signal energy of each fourth sub-band signal is greater than a preset second energy threshold, wherein each third sub-band signal is obtained by dividing the first environmental sound signal according to a second preset bandwidth, and each fourth sub-band signal is obtained by dividing the second environmental sound signal according to the second preset bandwidth; if the minimum signal energy is greater than the second energy threshold, executing the step of determining a strong wind noise sound signal and a weak wind noise sound signal from the first environmental sound signal and the second environmental sound signal; if the minimum signal energy is less than or equal to the second energy threshold, the filtered first ambient sound signal (i.e., the rms_min_l path shown in fig. 6) is played through the left ear speaker and the filtered second ambient sound signal (i.e., the rms_min_r path shown in fig. 6) is played through the right ear speaker.

Step 5: and judging the left and right difference of wind noise. Determining the minimum value of the signal energy of each fifth sub-band signal as first signal energy, and determining the minimum value of the signal energy of each sixth sub-band signal as second signal energy, wherein each fifth sub-band signal is obtained by dividing the first environmental sound signal according to a third preset bandwidth, and each sixth sub-band signal is obtained by dividing the second environmental sound signal according to the third preset bandwidth; and calculating the first signal energy minus the second signal energy to obtain a second energy difference.

If the second energy difference value is larger than the maximum value in the preset second energy range, determining the first environment sound signal as a strong wind noise sound signal, and determining the second environment sound signal as a weak wind noise sound signal; if the second energy difference value is smaller than the minimum value in the second energy range, the second ambient sound signal is determined to be a strong wind noise sound signal, and the first ambient sound signal is determined to be a weak wind noise sound signal. The high frequency signal in the strong wind noise sound signal and the low frequency signal in the weak wind noise sound signal are superimposed to obtain a wind noise suppression signal (i.e., the sound shown in fig. 6 is mixed with the left ear high frequency filter using the right ear low pass filter, or the sound is mixed with the right ear high frequency filter using the left ear low pass filter); the loudspeaker on the earphone which picks up the strong wind noise sound signal in the first earphone and the second earphone is used for outputting the wind noise suppression sound signal, and the loudspeaker on the earphone which picks up the weak wind noise sound signal in the first earphone and the second earphone is used for outputting the weak wind noise sound signal.

Further, in a possible embodiment, when the product is in the hearing enhancement mode, step 5 is: the same frequency band between a preset wind noise frequency band and a preset auxiliary hearing enhancement frequency band is determined to be a target frequency band;

and determining the minimum value in the signal energy of each fifth sub-band signal corresponding to the target frequency band as the first signal energy, and determining the minimum value in the signal energy of each sixth sub-band signal corresponding to the target frequency band as the second signal energy.

Calculating the first signal energy minus the second signal energy to obtain a second energy difference; if the second energy difference value is larger than the maximum value in the preset second energy range, determining the first environment sound signal as a strong wind noise sound signal, and determining the second environment sound signal as a weak wind noise sound signal; if the second energy difference value is smaller than the minimum value in the second energy range, the second ambient sound signal is determined to be a strong wind noise sound signal, and the first ambient sound signal is determined to be a weak wind noise sound signal.

And superposing a high-frequency signal in the strong wind noise sound signal and a low-frequency signal in the weak wind noise sound signal to obtain a wind noise suppression signal.

Note that, in this embodiment, the values of the first preset bandwidth, the second preset bandwidth, and the third preset bandwidth may be the same.

In addition, the embodiment of the invention also provides a computer readable storage medium, wherein the storage medium stores a wind noise suppression program, and the wind noise suppression program realizes the steps of a wind noise suppression method as follows when being executed by a processor.

Embodiments of the earphone device and the computer readable storage medium of the present invention may refer to embodiments of the wind noise suppression method of the present invention, and will not be described herein.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.

The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims (10)

1. The earphone device is characterized in that at least one microphone and a buffer cavity corresponding to the position of the microphone on an earphone shell are respectively arranged on a first earphone and a second earphone of the earphone device, an external protective net exposed in the external environment and an internal protective net attached to the surface of the microphone are respectively covered at two ends of the buffer cavity, the cavity of the buffer cavity comprises an external cavity close to the external protective net and an internal cavity close to the internal protective net, and the aperture of the external cavity is larger than that of the internal cavity;

the loudspeakers on the earphones which pick up the strong wind noise sound signals in the first earphone and the second earphone are used for outputting the wind noise suppression sound signals, and the loudspeakers on the earphones which pick up the weak wind noise sound signals in the first earphone and the second earphone are used for outputting the weak wind noise sound signals; the wind noise suppression sound signal is a sound signal obtained by superposing a high-frequency signal in the strong wind noise sound signal and a low-frequency signal in the weak wind noise sound signal; the strong wind noise sound signals are sound signals, the picking-up direction of which is consistent with the source direction of the wind noise signals, in the first environment sound signals and the second environment sound signals, and the weak wind noise sound signals are sound signals, the picking-up direction of which is inconsistent with the source direction of the wind noise signals, in the first environment sound signals and the second environment sound signals; the first ambient sound signal is a sound signal picked up by a microphone on the first earphone, and the second ambient sound signal is a sound signal picked up by a microphone on the second earphone.

2. The earphone device of claim 1, wherein said external protection net comprises at least two layers of buffer nets, and the buffer net exposed to the external environment in said at least two layers of buffer nets is a wind speed reducing metal net or a metal punched sheet with a woven net attached inside.

3. A wind noise suppression method, characterized in that the wind noise suppression method is applied to the headphone apparatus as claimed in any one of claims 1 to 2, the method comprising the steps of:

acquiring a first ambient sound signal picked up by a microphone on the first earphone and acquiring a second ambient sound signal picked up by a microphone on the second earphone;

determining a strong wind noise sound signal and a weak wind noise sound signal from the first environment sound signal and the second environment sound signal, wherein the pick-up direction of the strong wind noise sound signal is consistent with the source direction of the wind noise signal, and the pick-up direction of the weak wind noise sound signal is inconsistent with the source direction of the wind noise signal;

superposing a high-frequency signal in the strong wind noise sound signal and a low-frequency signal in the weak wind noise sound signal to obtain a wind noise suppression sound signal, wherein the low-frequency signal is smaller than a preset frequency, and the high-frequency signal is larger than or equal to the preset frequency;

And outputting the wind noise suppression sound signal by using a loudspeaker on the earphone which picks up the strong wind noise sound signal in the first earphone and the second earphone, and outputting the weak wind noise sound signal by using a loudspeaker on the earphone which picks up the weak wind noise sound signal in the first earphone and the second earphone.

4. The wind noise suppression method of claim 3, further comprising, prior to the step of determining a strong wind noise sound signal and a weak wind noise sound signal from the first ambient sound signal and the second ambient sound signal:

detecting whether wind noise signals exist in the first environment sound signal and the second environment sound signal;

and if the wind noise signal exists in the first environment sound signal and the second environment sound signal, executing the step of determining a strong wind noise sound signal and a weak wind noise sound signal from the first environment sound signal and the second environment sound signal.

5. The wind noise suppression method of claim 4, wherein the step of detecting whether a wind noise signal is present in the first ambient sound signal and the second ambient sound signal comprises:

Determining a sub-band signal with the largest signal energy from each first sub-band signal and each second sub-band signal, and determining an environmental sound signal corresponding to the sub-band signal with the largest signal energy as a target environmental sound signal, wherein each first sub-band signal is obtained by dividing the first environmental sound signal according to a first preset bandwidth, and each second sub-band signal is obtained by dividing the second environmental sound signal according to the first preset bandwidth;

detecting whether a wind noise signal exists in the target environment sound signal;

if the wind noise signal exists in the target environment sound signal, determining that the wind noise signal exists in the first environment sound signal and the second environment sound signal;

and if the wind noise signal does not exist in the target environment sound signal, determining that the wind noise signal does not exist in the first environment sound signal and the second environment sound signal.

6. The wind noise suppression method of claim 5, wherein the step of detecting whether a wind noise signal is present in the target ambient sound signal comprises:

calculating a first signal energy average value of each sub-band signal corresponding to a preset wind noise frequency band in each sub-band signal of the target environment sound signal, and calculating a second signal energy average value of each sub-band signal corresponding to a low-frequency band in each sub-band signal of the target environment sound signal, wherein the upper limit frequency of the low-frequency band is equal to the lower limit frequency of the wind noise frequency band;

Calculating a first energy difference value between the first signal energy mean value and the second signal energy mean value, and detecting whether the first energy difference value is in a preset first energy range;

if the first energy difference value is in the first energy range, calculating a signal energy standard deviation between sub-band signals corresponding to the wind noise frequency band in the target environment sound signal, and detecting whether the signal energy standard deviation is smaller than a preset first energy threshold value;

if the signal energy standard deviation is smaller than the first energy threshold, determining that a wind noise signal exists in the target environment sound signal;

and if the signal energy standard deviation is greater than or equal to the first energy threshold, determining that a wind noise signal does not exist in the target environment sound signal.

7. The wind noise suppression method of claim 4, wherein after the step of detecting whether a wind noise signal is present in the first ambient sound signal and the second ambient sound signal, further comprising:

if the wind noise signal exists in the first environment sound signal and the second environment sound signal, detecting whether the minimum signal energy in the signal energy of each third sub-band signal and the signal energy of each fourth sub-band signal is larger than a preset second energy threshold value, wherein each third sub-band signal is obtained by dividing the first environment sound signal according to a second preset bandwidth, and each fourth sub-band signal is obtained by dividing the second environment sound signal according to the second preset bandwidth;

And if the minimum signal energy is greater than the second energy threshold, the step of determining a strong wind noise sound signal and a weak wind noise sound signal from the first environmental sound signal and the second environmental sound signal is performed.

8. The wind noise suppression method according to any one of claims 4 to 7, wherein the step of determining a strong wind noise sound signal and a weak wind noise sound signal from the first environmental sound signal and the second environmental sound signal includes:

determining a minimum value in signal energy of each fifth sub-band signal as first signal energy, and determining a minimum value in signal energy of each sixth sub-band signal as second signal energy, wherein each fifth sub-band signal is obtained by dividing the first environmental sound signal according to a third preset bandwidth, and each sixth sub-band signal is obtained by dividing the second environmental sound signal according to the third preset bandwidth;

calculating the first signal energy minus the second signal energy to obtain a second energy difference;

if the second energy difference value is larger than the maximum value in a preset second energy range, determining the first environment sound signal as the strong wind noise sound signal, and determining the second environment sound signal as the weak wind noise sound signal;

And if the second energy difference value is smaller than the minimum value in the second energy range, determining the second environment sound signal as the strong wind noise sound signal and the first environment sound signal as the weak wind noise sound signal.

9. The wind noise suppression method of claim 8, wherein the step of determining the minimum value of the signal energies of the respective fifth subband signals as the first signal energy and the minimum value of the signal energies of the respective sixth subband signals as the second signal energy when the earphone device is in the secondary listening enhancement mode comprises:

the same frequency band between a preset wind noise frequency band and a preset auxiliary hearing enhancement frequency band is determined to be a target frequency band;

and determining the minimum value of the signal energy of each fifth sub-band signal corresponding to the target frequency band as first signal energy, and determining the minimum value of the signal energy of each sixth sub-band signal corresponding to the target frequency band as second signal energy.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a wind noise suppression program which, when executed by a processor, implements the steps of the wind noise suppression method according to any one of claims 3 to 9.