CN108632692B - Intelligent control method of microphone equipment and microphone equipment - Google Patents

Intelligent control method of microphone equipment and microphone equipment Download PDF

Info

Publication number
CN108632692B
CN108632692B CN201810290305.9A CN201810290305A CN108632692B CN 108632692 B CN108632692 B CN 108632692B CN 201810290305 A CN201810290305 A CN 201810290305A CN 108632692 B CN108632692 B CN 108632692B
Authority
CN
China
Prior art keywords
microphone
microphone device
audio signal
audio
signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201810290305.9A
Other languages
Chinese (zh)
Other versions
CN108632692A (en
Inventor
张丹超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
TCL China Star Optoelectronics Technology Co Ltd
Original Assignee
Shenzhen China Star Optoelectronics Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen China Star Optoelectronics Technology Co Ltd filed Critical Shenzhen China Star Optoelectronics Technology Co Ltd
Priority to CN201810290305.9A priority Critical patent/CN108632692B/en
Publication of CN108632692A publication Critical patent/CN108632692A/en
Application granted granted Critical
Publication of CN108632692B publication Critical patent/CN108632692B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00Details of transducers, loudspeakers or microphones
    • H04R1/08Mouthpieces; Microphones; Attachments therefor
    • H04R1/083Special constructions of mouthpieces

Abstract

The embodiment of the invention relates to the technical field of microphones, and discloses an intelligent control method of microphone equipment and the microphone equipment, wherein the method comprises the following steps: the microphone equipment monitors the volume decibel value of an audio signal recorded by a microphone of the microphone equipment; the microphone equipment judges whether the volume decibel value of the monitored audio signal exceeds a set threshold value or not; and if the preset threshold value is exceeded, the microphone equipment closes the loudspeaker of the microphone equipment to play. By implementing the embodiment of the invention, howling can be effectively reduced, and the ear health of a user can be protected.

Description

Intelligent control method of microphone equipment and microphone equipment
Technical Field
The invention relates to the technical field of microphones, in particular to an intelligent control method of microphone equipment and the microphone equipment.
Background
Currently, many microphone devices are available on the market that incorporate a speaker and a microphone, which are typically physically close together, thereby easily causing howling problems. Although many microphone devices isolate the speaker and the microphone from each other in terms of software algorithms and hardware, there is still a certain percentage of howling, which can cause discomfort to the user and harm the user's ear health.
Disclosure of Invention
The embodiment of the invention discloses an intelligent control method of microphone equipment and the microphone equipment, which can effectively reduce howling and are beneficial to protecting the ear health of a user.
The first aspect of the embodiment of the invention discloses an intelligent control method for microphone equipment, which comprises the following steps:
the microphone equipment monitors the volume decibel value of an audio signal recorded by a microphone of the microphone equipment;
the microphone equipment judges whether the volume decibel value of the monitored audio signal exceeds a set threshold value or not;
and if the audio frequency exceeds the set threshold value, the microphone equipment closes the audio frequency playing of the loudspeaker of the microphone equipment.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the microphone device determines that a volume decibel value of the monitored audio signal exceeds a set threshold, and before the microphone device turns off audio playback of a speaker of the microphone device, the method further includes:
the microphone device detects whether the audio signal is a voice signal, and if the audio signal is the voice signal, the audio playing of the loudspeaker of the microphone device is closed.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the microphone device detects that the audio signal is a voice signal, and before the microphone device turns off audio playback of a speaker of the microphone device, the method further includes:
the microphone device detects whether a living user exists around, and if the living user exists, the audio playing of the loudspeaker of the microphone device is closed.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the microphone apparatus turns off audio playback of the speaker of the microphone apparatus, the method further includes:
the microphone equipment converts the audio to be played by a loudspeaker of the microphone equipment into corresponding text information;
and the microphone equipment projects and displays the text information.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the displaying, by projection, the text information by the microphone device includes:
the microphone equipment detects whether the microphone equipment is in communication connection with intelligent glasses or not, and if yes, the microphone equipment transmits the text information to the intelligent glasses in real time so that the intelligent glasses project the text information to eyeballs of a user to enable the user to see the text information.
A second aspect of an embodiment of the present invention discloses a microphone apparatus, including:
the monitoring unit is used for monitoring the volume decibel value of the audio signal recorded by the microphone of the microphone equipment;
the judging unit is used for judging whether the volume decibel value of the monitored audio signal exceeds a set threshold value or not;
and the closing unit is used for closing the audio playing of the loudspeaker of the microphone device when the judgment result of the judgment unit exceeds the set threshold value.
As an alternative implementation, in the second aspect of the embodiment of the present invention, the microphone apparatus further includes:
the voice detection unit is used for detecting whether the audio signal is a voice signal or not when the judgment result of the judgment unit exceeds the set threshold;
the closing unit is specifically configured to close audio playing of a speaker of the microphone device when the determination result of the determining unit exceeds the set threshold and when the voice detecting unit detects that the audio signal is the voice signal.
As an alternative implementation, in the second aspect of the embodiment of the present invention, the microphone apparatus further includes:
a living body detection unit for detecting whether a living body user exists around when the voice detection unit detects that the audio signal is the voice signal;
the closing unit is specifically configured to close audio playing of a speaker of the microphone device when the determination result of the determining unit exceeds the set threshold, when the voice detecting unit detects that the audio signal is the voice signal, and when the living body detecting unit detects that a living body user exists around the living body detecting unit.
As an alternative implementation, in the second aspect of the embodiment of the present invention, the microphone apparatus further includes:
the conversion unit is used for converting the audio to be played by the loudspeaker of the microphone device into corresponding text information after the audio playing of the loudspeaker of the microphone device is closed by the closing unit;
and the output unit is used for projecting and displaying the character information.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the output unit is specifically configured to detect whether the microphone device is in communication connection with smart glasses, and if so, transmit the text information to the smart glasses in real time, so that the smart glasses project the text information to eyeballs of a user, so that the user sees the text information.
A third aspect of an embodiment of the present invention discloses a microphone apparatus, including:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the intelligent control method of the microphone device disclosed in the first aspect of the embodiment of the present invention.
A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium storing a computer program, where the computer program causes a computer to execute the intelligent control method for a microphone apparatus disclosed in the first aspect of the embodiments of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, after the microphone device monitors the volume decibel value of the audio signal recorded by the microphone of the microphone device, whether the volume decibel value of the monitored audio signal exceeds the set threshold value or not can be judged, and if the volume decibel value exceeds the set threshold value, the microphone device can close the audio playing of the loudspeaker of the microphone device, so that the howling can be effectively reduced, and the ear health of a user can be protected.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an intelligent control method for a microphone device according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another intelligent control method for a microphone device according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of another intelligent control method for a microphone device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a microphone apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another microphone apparatus disclosed in the embodiments of the present invention;
fig. 6 is a schematic structural diagram of another microphone apparatus disclosed in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is to be noted that the terms "comprises" and "comprising" and any variations thereof in the embodiments and drawings of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses an intelligent control method of microphone equipment and the microphone equipment, which can effectively reduce howling and are beneficial to protecting the ear health of a user. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an intelligent control method for a microphone device according to an embodiment of the present invention. As shown in fig. 1, the intelligent control method of the microphone apparatus may include the steps of:
101. the microphone device monitors the volume decibel value of the audio signal recorded by the microphone of the microphone device.
In the embodiment of the present invention, the microphone device may be in communication connection with the electronic device in a wired manner or a wireless manner, where the electronic device may include various electronic devices such as a mobile tablet, a family education machine, a learning machine, and a multimedia playing device, and the embodiment of the present invention is not limited thereto.
102. The microphone device judges whether the volume decibel value of the monitored audio signal exceeds a set threshold, if so, step 103 is executed; otherwise, return to step 101.
In the embodiment of the invention, when the volume decibel value of the audio signal exceeds the set threshold, the microphone device is easy to generate howling; on the contrary, when the volume decibel value of the audio signal does not exceed the set threshold, the microphone device is not easy to generate howling.
103. The microphone device turns off the audio playback of the speaker of the microphone device.
In the method described in fig. 1, after monitoring the volume decibel value of the audio signal recorded by the microphone of the microphone device, the microphone device may determine whether the volume decibel value of the monitored audio signal exceeds a set threshold, and if the volume decibel value exceeds the set threshold, the microphone device may turn off the audio playback of the speaker of the microphone device, so that howling may be effectively reduced, and it is beneficial to protect the ear health of the user.
Example two
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating another method for intelligently controlling a microphone device according to an embodiment of the present invention. As shown in fig. 2, the intelligent control method of the microphone apparatus may include the steps of:
201. the microphone device monitors the volume decibel value of the audio signal recorded by the microphone of the microphone device.
202. The microphone device judges whether the volume decibel value of the monitored audio signal exceeds a set threshold, if so, step 203 is executed; otherwise, return to step 201.
203. Detecting whether the audio signal is a voice signal by the microphone device, and if the audio signal is a voice signal, executing step 204; otherwise, if the audio signal is a non-speech signal, the process is ended.
In this embodiment of the present invention, the detecting, by the microphone device, whether the audio signal is a voice signal may include:
the microphone equipment carries out fast Fourier transform on the audio signal to obtain a frequency domain signal;
the microphone device calculates a spectral amplitude value according to the frequency domain signal;
the microphone device calculates a probability density from the spectral magnitude values;
the microphone device calculates the spectral entropy of the audio signal according to the probability density;
the microphone device determines whether the audio signal is a speech signal according to the spectral entropy.
Wherein the microphone apparatus calculates a spectral amplitude value from the frequency domain signal, comprising:
the microphone apparatus calculates spectral amplitude values from the frequency domain signal in combination with equation (1), i.e.:
Figure BDA0001617314630000061
wherein, X (k, y) represents the spectral amplitude value of the kth frequency band of the frame of the yth audio signal, z (N, y) represents the amplitude of the nth point in the audio of the frame of the yth audio signal, N represents the variation length of the fast Fourier transform, k is less than or equal to N, exp (-j2 pi kn/N) represents a complex number with the amplitude angle of 2 pi being kn/N times.
As an optional implementation manner, in the embodiment of the present invention, since the audio signal monitored by the microphone may contain background noise, after the microphone device determines that the audio signal is a speech signal according to the spectral entropy, the microphone device may perform pre-discrete sampling and quantization on the audio signal containing the background noise to obtain a data frame, construct a wavelet neural network based on a Morlet wavelet function on the data frame, construct a particle swarm fitness function on parameters of the wavelet neural network, obtain optimal parameters of the wavelet neural network through a particle swarm algorithm, input the data frame into the wavelet neural network for filtering, thereby removing noise, and thus may accurately extract the speech signal;
further, the microphone device may identify whether the extracted voiceprint features of the speech signal match with voiceprint features of a preset user in the database, and if so, execute step 204; otherwise, if not, go to step 201. By implementing the embodiment, the adaptability to the noise characteristics of different environment sound sources can be improved.
Wherein, whether the voiceprint feature of the voice signal extracted by the microphone device identification matches with the voiceprint feature of the preset user in the database includes:
the microphone device carries out preprocessing on the extracted voice signals, wherein the preprocessing comprises pre-emphasis, framing and windowing;
the microphone equipment extracts voiceprint features MFCC, LPCC, △ MFCC, △ LPCC, first-order difference of energy and GFCC from a preprocessed voice signal to jointly form a first multi-dimensional feature vector, wherein MFCC is a Mel frequency cepstrum coefficient, LPCC is a linear prediction cepstrum coefficient, △ MFCC is the first-order difference of MFCC, △ LPCC is the first-order difference of LPCC, and GFCC is a Gamma tone filter cepstrum coefficient;
the microphone device judges whether the first multi-dimensional feature vector is completely matched with a second multi-dimensional vector corresponding to the voiceprint features of the preset user in the database, and if the first multi-dimensional feature vector is completely matched with the second multi-dimensional vector corresponding to the voiceprint features of the preset user in the database, the extracted voiceprint features of the voice signal are accurately identified to be matched with the voiceprint features of the preset user in the database.
204. The microphone device detects whether a living user exists around, and if so, step 205 is executed; otherwise, if there is no living user, the process is ended.
205. The microphone device turns off the audio playback of the speaker of the microphone device.
Therefore, the implementation of the method described in fig. 2 can effectively reduce howling, which is beneficial to protecting the ear health of the user. In addition, by implementing the method described in fig. 2, the speech signal can be accurately extracted, and the adaptability to the noise characteristics of different environmental sound sources can be improved. In addition, by implementing the method described in fig. 2, it can be accurately recognized that the extracted voiceprint features of the speech signal match the voiceprint features of the preset user in the database.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic flowchart illustrating another intelligent control method for a microphone apparatus according to an embodiment of the present invention. As shown in fig. 3, the intelligent control method of the microphone apparatus may include the steps of:
301. the microphone device monitors the volume decibel value of the audio signal recorded by the microphone of the microphone device.
302. The microphone device judges whether the volume decibel value of the monitored audio signal exceeds a set threshold, if so, the step 303 is executed; otherwise, return to step 301.
303. Detecting whether the audio signal is a voice signal by the microphone device, and if the audio signal is a voice signal, executing step 304; otherwise, if the audio signal is a non-speech signal, the process is ended.
304. The microphone device detects whether a living user exists around, and if the living user exists, the steps 305 to 307 are executed; otherwise, if there is no living user, the process is ended.
As an alternative implementation manner, in step 304, the manner that the microphone device detects whether there is a living user around may be:
the microphone device collects surrounding video images;
the microphone equipment determines a face image in the video image as an object to be detected;
the microphone equipment extracts the position information of the eye corner and the pupil in the face image;
the microphone device determines a relative position sequence of the pupil based on the position information of the eye corner and the pupil;
the microphone device determines the relative position variance of the pupil as a characteristic signal, judges whether the relative position variance is larger than a preset threshold value, and determines that the object to be detected is a living user if the relative position variance is larger than the preset threshold value.
By implementing the embodiment, whether living users exist around can be accurately detected.
305. The microphone device turns off the audio playback of the speaker of the microphone device.
306. The microphone device converts the audio to be played by the loudspeaker of the microphone device into corresponding text information.
307. And the microphone equipment projects and displays the character information.
As an optional implementation manner, the projecting and displaying of the text information by the microphone device may include:
the microphone device detects whether the microphone device is in communication connection with the intelligent glasses, and if yes, the microphone device transmits the text information to the intelligent glasses in real time, so that the intelligent glasses project the text information to eyeballs of a user, and the user can see the text information.
In an application scene of voice interaction, a user can establish wireless communication connection between intelligent glasses and a microphone device and between the microphone device and a mobile panel, and can wear the intelligent glasses, and the intelligent glasses can comprise a parallel frame which can be transversely arranged above a nose bridge, a wide-strip computer which is positioned on the right side of a mirror frame and a transparent display screen; on the basis, the microphone device can play voice information output by the mobile panel through the loudspeaker, and can record an audio signal sent by a user through the microphone, monitor the volume decibel value of the audio signal recorded by the microphone of the microphone device, if the volume decibel value of the monitored audio signal is judged to exceed a set threshold, the microphone device can detect whether the audio signal is the voice signal, if the audio signal is the voice signal, the microphone device detects whether living users exist around the microphone device, if the living users exist, the microphone device closes the audio playing of the loudspeaker of the microphone device, simultaneously the microphone device converts the audio to be played of the loudspeaker of the microphone device into corresponding text information and detects whether the microphone device is in communication connection with intelligent glasses, if so, the microphone device transmits the text information to the intelligent glasses in real time, so that the intelligent glasses can project the text information to eyeballs of the user, and the user can see the text information.
In the application scene, the howling can be effectively reduced, the ear health of the user can be protected, and the user can be ensured to see that the voice frequency of the opposite side is converted into corresponding character information, so that the howling can be reduced, and the continuity and the real-time performance of voice interaction can be kept.
Therefore, the implementation of the method described in fig. 3 can effectively reduce howling, which is beneficial to protecting the ear health of the user. In addition, by implementing the method described in fig. 3, the speech signal can be accurately extracted, and the adaptability to the noise characteristics of different environmental sound sources can be improved. In addition, by implementing the method described in fig. 3, it can be accurately recognized that the extracted voiceprint features of the speech signal match the voiceprint features of the preset user in the database.
Example four
Referring to fig. 4, fig. 4 is a schematic structural diagram of a microphone apparatus according to an embodiment of the present invention. As shown in fig. 4, the microphone apparatus may include:
a monitoring unit 401, configured to monitor a volume decibel value of an audio signal recorded by a microphone of a microphone device;
a determining unit 402, configured to determine whether a volume decibel value of the monitored audio signal exceeds a set threshold;
a closing unit 403, configured to close the audio playback of the speaker of the microphone device when the determination result of the determining unit 402 is that the set threshold is exceeded.
The implementation of the microphone device described in fig. 4 can effectively reduce howling, which is beneficial to protecting the ear health of the user.
EXAMPLE five
Referring to fig. 5, fig. 5 is a schematic structural diagram of another microphone apparatus according to an embodiment of the disclosure. Wherein the microphone arrangement depicted in fig. 5 is optimized from the microphone arrangement depicted in fig. 4. Compared to the microphone apparatus described in fig. 4, the microphone apparatus described in fig. 5 may further include:
a voice detection unit 404, configured to detect whether the audio signal is a voice signal when the determination result of the determination unit 402 is that a set threshold is exceeded;
the closing unit 403 is specifically configured to close audio playback of the speaker of the microphone device when the determination result of the determining unit 402 exceeds the set threshold and when the voice detecting unit 404 detects that the audio signal is a voice signal.
As another alternative embodiment, the microphone apparatus depicted in fig. 5 further includes:
a living body detection unit 405 for detecting whether a living body user exists around when the voice detection unit 404 detects that the audio signal is a voice signal;
a closing unit 403, specifically configured to close the audio playback of the speaker of the microphone device when the determination result of the determining unit 402 exceeds the set threshold, when the voice detecting unit 404 detects that the audio signal is a voice signal, and when the living body detecting unit 405 detects that a living body user is present around.
As another alternative embodiment, the microphone apparatus depicted in fig. 5 further includes:
a conversion unit 406, configured to convert the audio to be played by the speaker of the microphone device into corresponding text information after the audio playback by the speaker of the microphone device is turned off by the turning-off unit 403;
the output unit 407 is configured to perform projection display on the text information.
In the embodiment of the present invention, the output unit 407 is specifically configured to detect whether the microphone device is in communication connection with the smart glasses, and if so, transmit the text information to the smart glasses in real time, so that the smart glasses project the text information to eyeballs of a user, so that the user can see the text information.
In an application scene of voice interaction, a user can establish wireless communication connection between intelligent glasses and a microphone device and between the microphone device and a mobile panel, and can wear the intelligent glasses, and the intelligent glasses can comprise a parallel frame which can be transversely arranged above a nose bridge, a wide-strip computer which is positioned on the right side of a mirror frame and a transparent display screen; on this basis, the microphone device may play the voice information output by the mobile tablet through the speaker, and the microphone device may record the audio signal sent by the user through the headset, the monitoring unit 401 monitors the volume decibel value of the audio signal recorded by the headset of the microphone device, if the determining unit 402 determines that the volume decibel value of the monitored audio signal exceeds the set threshold, the voice detecting unit 404 may detect whether the audio signal is a voice signal, if the audio signal is a voice signal, the living body detecting unit 405 detects whether a living body user exists around, if a living body user exists, the closing unit 403 closes the audio playing of the speaker of the microphone device, and the converting unit 406 converts the audio to be played by the speaker of the microphone device into corresponding text information, and the output unit 407 may detect whether the microphone device is communicatively connected with smart glasses, if so, the output unit 407 transmits the text information to the smart glasses in real time, so that the smart glasses project the text information to the eyeballs of the user, so that the user can see the text information.
In the application scene, the howling can be effectively reduced, the ear health of the user can be protected, and the user can be ensured to see that the voice frequency of the opposite side is converted into corresponding character information, so that the howling can be reduced, and the continuity and the real-time performance of voice interaction can be kept.
It can be seen that the implementation of the microphone apparatus described in fig. 5 can effectively reduce howling, which is beneficial to protecting the ear health of the user. In addition, by implementing the microphone device described in fig. 5, the voice signal can be accurately extracted, and the adaptability to the noise characteristics of different environmental sound sources can be improved. In addition, with the microphone apparatus described in fig. 5, it can be accurately recognized that the extracted voiceprint features of the speech signal match the voiceprint features of the preset user in the database.
EXAMPLE six
Referring to fig. 6, fig. 6 is a schematic structural diagram of another microphone apparatus according to an embodiment of the present invention. As shown in fig. 6, the microphone apparatus may include:
a memory 601 in which executable program code is stored;
a processor 602 coupled to a memory 601;
wherein the processor 602 calls the executable program code stored in the memory 601 to execute the method described in fig. 1, fig. 2 or fig. 3.
Therefore, the implementation of the microphone device described in fig. 6 can effectively reduce howling, which is beneficial to protecting the ear health of the user. In addition, by implementing the microphone device described in fig. 6, the voice signal can be accurately extracted, and the adaptability to the noise characteristics of different environmental sound sources can be improved. In addition, with the microphone apparatus described in fig. 6, it can be accurately recognized that the extracted voiceprint features of the speech signal match the voiceprint features of the preset user in the database.
An embodiment of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute the method described in fig. 1, fig. 2, or fig. 3.
It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by program instructions associated with hardware, and the program may be stored in a computer-readable storage medium, which includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), compact disc-Read-Only Memory (CD-ROM), or other Memory, magnetic disk, magnetic tape, or magnetic tape, Or any other medium which can be used to carry or store data and which can be read by a computer.
The above describes in detail an intelligent control method for a microphone device and a microphone device disclosed in the embodiments of the present invention, and a specific example is applied in the present document to explain the principle and the implementation of the present invention, and the description of the above embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, 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 invention.

Claims (8)

1. A method of intelligent control of a microphone apparatus, the method comprising:
the microphone equipment monitors the volume decibel value of an audio signal recorded by a microphone of the microphone equipment;
the microphone equipment judges whether the volume decibel value of the monitored audio signal exceeds a set threshold value or not;
if the audio signal is the voice signal, the microphone device closes the audio playing of a loudspeaker of the microphone device;
wherein, microphone equipment detects whether audio signal is speech signal, includes:
the microphone equipment carries out fast Fourier transform on the audio signal to obtain a frequency domain signal;
the microphone device calculates a spectral amplitude value according to the frequency domain signal;
the microphone device calculates probability density according to the spectrum amplitude value;
the microphone device calculates the spectral entropy of the audio signal according to the probability density;
the microphone device determines whether the audio signal is a speech signal according to the spectral entropy.
2. The intelligent control method according to claim 1, wherein after the microphone device detects the audio signal as a voice signal and before the microphone device turns off audio playback of a speaker of the microphone device, the method further comprises:
the microphone device detects whether a living user exists around, and if the living user exists, the audio playing of the loudspeaker of the microphone device is closed.
3. The intelligent control method according to claim 1 or 2, wherein after the microphone device turns off audio playback of the speaker of the microphone device, the method further comprises:
the microphone equipment converts the audio to be played by a loudspeaker of the microphone equipment into corresponding text information;
and the microphone equipment projects and displays the text information.
4. The intelligent control method according to claim 3, wherein the microphone device projects and displays the text information, and comprises:
the microphone equipment detects whether the microphone equipment is in communication connection with intelligent glasses or not, and if yes, the microphone equipment transmits the text information to the intelligent glasses in real time so that the intelligent glasses project the text information to eyeballs of a user to enable the user to see the text information.
5. A microphone apparatus, comprising:
the monitoring unit is used for monitoring the volume decibel value of the audio signal recorded by the microphone of the microphone equipment;
the judging unit is used for judging whether the volume decibel value of the monitored audio signal exceeds a set threshold value or not;
the voice detection unit is used for detecting whether the audio signal is a voice signal or not when the judgment result of the judgment unit exceeds the set threshold;
a closing unit, configured to close audio playing of a speaker of the microphone device when the voice detection unit detects that the audio signal is the voice signal;
wherein, the voice detection unit detects whether the audio signal is a voice signal, including:
carrying out fast Fourier transform on the audio signal to obtain a frequency domain signal;
calculating a spectral amplitude value according to the frequency domain signal;
calculating probability density according to the spectral amplitude value;
calculating the spectral entropy of the audio signal according to the probability density;
and determining whether the audio signal is a voice signal according to the spectral entropy.
6. The microphone apparatus as defined by claim 5 further comprising:
a living body detection unit for detecting whether a living body user exists around when the voice detection unit detects that the audio signal is the voice signal;
the closing unit is specifically configured to close audio playing of a speaker of the microphone device when the determination result of the determining unit exceeds the set threshold, when the voice detecting unit detects that the audio signal is the voice signal, and when the living body detecting unit detects that a living body user exists around the living body detecting unit.
7. The microphone apparatus according to claim 5 or 6, characterized by further comprising:
the conversion unit is used for converting the audio to be played by the loudspeaker of the microphone device into corresponding text information after the audio playing of the loudspeaker of the microphone device is closed by the closing unit;
and the output unit is used for projecting and displaying the character information.
8. The microphone device as claimed in claim 7, wherein the output unit is specifically configured to detect whether the microphone device is communicatively connected with smart glasses, and if so, transmit the text information to the smart glasses in real time, so that the smart glasses project the text information to eyeballs of a user, so that the user sees the text information.
CN201810290305.9A 2018-03-30 2018-03-30 Intelligent control method of microphone equipment and microphone equipment Expired - Fee Related CN108632692B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810290305.9A CN108632692B (en) 2018-03-30 2018-03-30 Intelligent control method of microphone equipment and microphone equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810290305.9A CN108632692B (en) 2018-03-30 2018-03-30 Intelligent control method of microphone equipment and microphone equipment

Publications (2)

Publication Number Publication Date
CN108632692A CN108632692A (en) 2018-10-09
CN108632692B true CN108632692B (en) 2020-02-21

Family

ID=63696663

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810290305.9A Expired - Fee Related CN108632692B (en) 2018-03-30 2018-03-30 Intelligent control method of microphone equipment and microphone equipment

Country Status (1)

Country Link
CN (1) CN108632692B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101459717A (en) * 2007-12-11 2009-06-17 英华达(上海)电子有限公司 Wireless terminal and method for implementing multi-channel multiplexing
CN103873919A (en) * 2012-12-17 2014-06-18 联想(北京)有限公司 Information processing method and electronic equipment
CN104978980A (en) * 2015-07-03 2015-10-14 上海斐讯数据通信技术有限公司 Method for controlling sound playing and sound playing system
CN106162413A (en) * 2016-09-07 2016-11-23 合肥中感微电子有限公司 The Headphone device of specific environment sound prompting pattern

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10027302B2 (en) * 2015-05-07 2018-07-17 Shari Eskenas Audio interrupter alertness device for headphones

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101459717A (en) * 2007-12-11 2009-06-17 英华达(上海)电子有限公司 Wireless terminal and method for implementing multi-channel multiplexing
CN103873919A (en) * 2012-12-17 2014-06-18 联想(北京)有限公司 Information processing method and electronic equipment
CN104978980A (en) * 2015-07-03 2015-10-14 上海斐讯数据通信技术有限公司 Method for controlling sound playing and sound playing system
CN106162413A (en) * 2016-09-07 2016-11-23 合肥中感微电子有限公司 The Headphone device of specific environment sound prompting pattern

Also Published As

Publication number Publication date
CN108632692A (en) 2018-10-09

Similar Documents

Publication Publication Date Title
US20210192033A1 (en) Detection of replay attack
US11823679B2 (en) Method and system of audio false keyphrase rejection using speaker recognition
CN110832580B (en) Detection of replay attacks
CN108877823B (en) Speech enhancement method and device
KR101610151B1 (en) Speech recognition device and method using individual sound model
US8589167B2 (en) Speaker liveness detection
US10825353B2 (en) Device for enhancement of language processing in autism spectrum disorders through modifying the auditory stream including an acoustic stimulus to reduce an acoustic detail characteristic while preserving a lexicality of the acoustics stimulus
KR20210038871A (en) Detection of replay attacks
CN109361995B (en) Volume adjusting method and device for electrical equipment, electrical equipment and medium
CN113921026A (en) Speech enhancement method and device
CA3159895C (en) System and method for ambient noice detection, identification and management
US20230290335A1 (en) Detection of live speech
CN113314121A (en) Silent speech recognition method, silent speech recognition device, silent speech recognition medium, earphone, and electronic apparatus
CN108632692B (en) Intelligent control method of microphone equipment and microphone equipment
CN114067782A (en) Audio recognition method and device, medium and chip system thereof
WO2008075305A1 (en) Method and apparatus to address source of lombard speech
JP2002297199A (en) Method and device for discriminating synthesized voice and voice synthesizer
CN112118511A (en) Earphone noise reduction method and device, earphone and computer readable storage medium
O’Reilly et al. Effective and inconspicuous over-the-air adversarial examples with adaptive filtering
WO2018227560A1 (en) Method and system for controlling earphone
CN113724692B (en) Telephone scene audio acquisition and anti-interference processing method based on voiceprint features
US20240005937A1 (en) Audio signal processing method and system for enhancing a bone-conducted audio signal using a machine learning model
US20230267942A1 (en) Audio-visual hearing aid
CN113380244A (en) Intelligent adjustment method and system for playing volume of equipment
Ng Sound event recognition in home environments

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20200221

CF01 Termination of patent right due to non-payment of annual fee