CN110366086A - Ossiphone auto gain control method based on brain electricity EEG - Google Patents
Ossiphone auto gain control method based on brain electricity EEG Download PDFInfo
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- CN110366086A CN110366086A CN201910649081.0A CN201910649081A CN110366086A CN 110366086 A CN110366086 A CN 110366086A CN 201910649081 A CN201910649081 A CN 201910649081A CN 110366086 A CN110366086 A CN 110366086A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
- H04R25/50—Customised settings for obtaining desired overall acoustical characteristics
- H04R25/505—Customised settings for obtaining desired overall acoustical characteristics using digital signal processing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
- H04R2225/43—Signal processing in hearing aids to enhance the speech intelligibility
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- General Health & Medical Sciences (AREA)
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- Otolaryngology (AREA)
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- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses a kind of ossiphone auto gain control methods based on brain electricity EEG, and using a kind of ossiphone based on brain electricity EEG, the ossiphone includes osteoacusis module, acquisition module, control module.Hearing aid gain is automatically adjusted according to brain electricity doctrine clarity, orientation speech enhan-cement is realized, adapts to more complicated acoustic surrounding, the semantic load of hearing-impaired people is effectively reduced, and user can automatically adjust gain effect without manual activity.By means of the present invention, it can be made an uproar the semantic clarity under environment according to user in different languages in real time, dynamic adjusts the hearing aid gain of ossiphone.
Description
Technical field
The present invention relates to a kind of ossiphone auto gain control methods based on brain electricity EEG, belong to medical electronics
Equipment technology field.
Background technique
EEG is a kind of no wound, and temporal resolution is high, portable devices, cerebration recording mode easy to spread at low cost,
Human-computer interaction based on brain electricity is also current one of research hotspot, and brain wave provides for machine and largely accurately reflects user demand
Information, make machine immediately accurately generate user need feedback.This field has proposed a variety of brain waves in medical electronics device
Practical application in tool, such as the signal processing according to eeg signal modification hearing aid.
Existing hearing aid style is essentially digital air conduction hearing aid, and electromagnetic radiation enters brain via ear canal may be to people
Body causes to damage, and sound quality is impacted larger in a noisy environment, and the most of hearing aid signal gain designed at present is mostly
It manually adjusts, when for being either directed to half disability individual consumer of disability under vehicle environment, use is extremely inconvenient, therefore assistant officer needs more
Hearing aid signal gain control methods for convenience realize that different languages are made an uproar under environment, carried out adaptively for different user individual
The control of hearing aid signal gain.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of ossiphone automatic gain controls based on brain electricity EEG
Method processed can make an uproar the semantic clarity under environment according to user in different languages, dynamic adjusts bone in real time by means of the present invention
The hearing aid gain of conduction hearing aid.
The specific technical solution of the present invention is as follows:
A kind of ossiphone auto gain control method based on brain electricity EEG, utilizes a kind of osteoacusis based on brain electricity EEG
Hearing aid, the ossiphone include osteoacusis module, acquisition module, control module；
The control module includes control MCU, and controlling includes fuzzy algorithmic approach module and automatic gain module, automatic gain in MCU
Module includes control voltage forming circuit and gain controlled amplifying circuit；The semanteme that fuzzy algorithmic approach module is passed to according to acquisition module
Definition judgment result show that the operation of user is intended to, and exports a signal to control voltage forming circuit, controls voltage
It forms circuit and the signal that FUZZY ALGORITHMS FOR CONTROL module inputs is converted into the voltage to control gain-controlled amplifier, the control
Voltage processed controls gain controlled amplifying circuit, realizes real-time gain amendment；
The osteoacusis module includes bone conduction vibrator, and the bone conduction vibrator is connected with control MCU, controls MCU according to acquisition
The incoming semantic definition judgment result output gain adjustment signal of brain electricity of module, adjusts the yield value of bone conduction vibrator, that is, changes
Become vibration frequency/amplitude of bone conduction vibrator, and then realizes that volume and frequency are adjusted；
The acquisition module includes conductance voice acquisition module, electroencephalogramsignal signal acquisition module and signal processing MCU；The conductance language
Sound acquisition module includes microphone, and microphone is passed collected voice signal by ADC converter for acquiring external sound
To the signal processing MCU, the signal processing MCU carries out noise reduction process to voice signal, passes through Wiener filtering noise reduction algorithm
Noise modeling and denoising are carried out to ambient sound to different classes of respectively, for unstable to voice noise, using harmonic wave frequency
Rate inhibits method, reduces the noise that syllable and inter-syllable pause, and voice signal after treatment passes through DAC converter again and reaches institute
State osteoacusis part；
The electroencephalogramsignal signal acquisition module includes dry/wet electrode, and the dry/wet electrode will be adopted for the acquisition to EEG signals
Collect EEG signals and reach signal processing MCU and pre-processed, signal processing MCU can carry out pretreated EEG signals
Feature extraction extracts and is able to reflect user's difference language and makes an uproar attention change EEG signals feature under environment, then by signal characteristic
Input signal handles the adaptive line classifier algorithm module based on stochastic gradient built in MCU and carries out pattern-recognition, thus
Judge current semantic clarity；
The signal processing MCU is connected by SPI communication agreement with the control MCU of above-mentioned control section；Control MCU receives letter
Number processing MCU feedback semantic clarity after, using Direct-type self-adjustment fuzzy controller algorithm, according to current semantics clarity
The yield value of auto-adjustment control MCU, and the coefficient in fuzzy algorithmic approach formula is corrected immediately, after the correction gain value of control section,
The frequency and amplitude of bone conduction vibrator vibration are adjusted, realizes the control to sound size and frequency；
Its method and step is as follows:
(1) external sound reaches the noise reduction module of signal processing MCU by conductance voice module, then reaches osteoacusis module, bone
Oscillator is conducted according to preset frequency and amplitude vibrations, and user generates specific EEG signals according to semantic clarity at this time；
(2) the signal processing MCU of acquisition module can brain wave acquisition module it is dry/EEG signals of the collected user of wet electrode carry out
Pretreatment, feature extraction, tagsort judge the semantic clarity of user's perception；
(3) the semantic clarity that control module judges according to signal processing MCU adjusts the frequency and amplitude of bone conduction vibrator
It is whole, if semantic clarity is small, frequency is corrected, increases amplitude；
(4) due to the instantaneity of brain wave, above-mentioned steps (1)-(3) will be recycled always during use, the frequency of bone conduction vibrator
It can be adjusted with the variation dynamic of semantic clarity with amplitude, to realize the automatic growth control of ossiphone.
Above-mentioned microphone is adaptive direction microphone.
Above-mentioned Wiener filtering noise reduction algorithm, harmonic frequency inhibit method, the adaptive line classifier algorithm in stochastic gradient
Module, Direct-type self-adjustment fuzzy controller algorithm are mature in the prior art algorithm and module, are not developed in details herein
Description.
Advantageous effects of the invention:
1, by bone conduction hearing aid, the single occupancy ear canal of traditional hearing aid is solved the problems, such as, i.e., while bone conduction hearing aid, also
Ear canal is freed, the sound from osteoacusis i.e. acceptable for moderate and following hearing-impaired people, be also subjected to from
The sound of conductance.
2, hearing aid gain is automatically adjusted according to brain electricity doctrine clarity, realizes orientation speech enhan-cement, adapts to more complicated
The semantic load of hearing-impaired people is effectively reduced in acoustic surrounding, and user can automatically adjust gain effect without manual activity.
Detailed description of the invention
The structural module diagram of ossiphone Fig. 1 of the invention.
Fig. 2 is specific flow chart of the present invention.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
Shown in as described in Figure 2, a kind of ossiphone auto gain control method based on brain electricity EEG utilizes one kind
Based on the ossiphone of brain electricity EEG, as shown in Figure 1, the ossiphone includes osteoacusis module, acquisition module,
Control module；
The control module includes control MCU, and controlling includes fuzzy algorithmic approach module and automatic gain module, automatic gain in MCU
Module includes control voltage forming circuit and gain controlled amplifying circuit；The semanteme that fuzzy algorithmic approach module is passed to according to acquisition module
Definition judgment result show that the operation of user is intended to, and exports a signal to control voltage forming circuit, controls voltage
It forms circuit and the signal that FUZZY ALGORITHMS FOR CONTROL module inputs is converted into the voltage to control gain-controlled amplifier, the control
Voltage processed controls gain controlled amplifying circuit, realizes real-time gain amendment；
The osteoacusis module includes bone conduction vibrator, and the bone conduction vibrator is connected with control MCU, controls MCU according to acquisition
The incoming semantic definition judgment result output gain adjustment signal of brain electricity of module, adjusts the yield value of bone conduction vibrator, that is, changes
Become vibration frequency/amplitude of bone conduction vibrator, and then realizes that volume and frequency are adjusted；
The acquisition module includes conductance voice acquisition module, electroencephalogramsignal signal acquisition module and signal processing MCU；The conductance language
Sound acquisition module includes microphone, and microphone is passed collected voice signal by ADC converter for acquiring external sound
To the signal processing MCU, the signal processing MCU carries out noise reduction process to voice signal, passes through Wiener filtering noise reduction algorithm
Noise modeling and denoising are carried out to ambient sound to different classes of respectively, for unstable to voice noise, using harmonic wave frequency
Rate inhibits method, reduces the noise that syllable and inter-syllable pause, and voice signal after treatment passes through DAC converter again and reaches institute
State osteoacusis part；
The electroencephalogramsignal signal acquisition module includes dry/wet electrode, and the dry/wet electrode will be adopted for the acquisition to EEG signals
Collect EEG signals and reach signal processing MCU and pre-processed, signal processing MCU can carry out pretreated EEG signals
Feature extraction extracts and is able to reflect user's difference language and makes an uproar attention change EEG signals feature under environment, then by signal characteristic
Input signal handles the adaptive line classifier algorithm module based on stochastic gradient built in MCU and carries out pattern-recognition, thus
Judge current semantic clarity；
The signal processing MCU is connected by SPI communication agreement with the control MCU of above-mentioned control section；Control MCU receives letter
Number processing MCU feedback semantic clarity after, using Direct-type self-adjustment fuzzy controller algorithm, according to current semantics clarity
The yield value of auto-adjustment control MCU, and the coefficient in fuzzy algorithmic approach formula is corrected immediately, after the correction gain value of control section,
The frequency and amplitude of bone conduction vibrator vibration are adjusted, realizes the control to sound size and frequency；
Its method and step is as follows:
(1) external sound reaches the noise reduction module of signal processing MCU by conductance voice module, then reaches osteoacusis module, bone
Oscillator is conducted according to preset frequency and amplitude vibrations, and user generates specific EEG signals according to semantic clarity at this time；
(2) the signal processing MCU of acquisition module can brain wave acquisition module it is dry/EEG signals of the collected user of wet electrode carry out
Pretreatment, feature extraction, tagsort judge the semantic clarity of user's perception；
(3) the semantic clarity that control module judges according to signal processing MCU adjusts the frequency and amplitude of bone conduction vibrator
It is whole, if semantic clarity is small, frequency is corrected, increases amplitude；
(4) due to the instantaneity of brain wave, above-mentioned steps (1)-(3) will be recycled always during use, the frequency of bone conduction vibrator
It can be adjusted with the variation dynamic of semantic clarity with amplitude, to realize the automatic growth control of ossiphone.
Above-mentioned microphone is adaptive direction microphone.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations
Also it should be regarded as protection scope of the present invention.
Claims (2)
1. a kind of ossiphone auto gain control method based on brain electricity EEG, it is characterised in that be based on brain using a kind of
The ossiphone of electric EEG, the ossiphone include osteoacusis module, acquisition module, control module；
The control module includes control MCU, and controlling includes fuzzy algorithmic approach module and automatic gain module, automatic gain in MCU
Module includes control voltage forming circuit and gain controlled amplifying circuit；The semanteme that fuzzy algorithmic approach module is passed to according to acquisition module
Definition judgment result show that the operation of user is intended to, and exports a signal to control voltage forming circuit, controls voltage
It forms circuit and the signal that FUZZY ALGORITHMS FOR CONTROL module inputs is converted into the voltage to control gain-controlled amplifier, the control
Voltage processed controls gain controlled amplifying circuit, realizes real-time gain amendment；
The osteoacusis module includes bone conduction vibrator, and the bone conduction vibrator is connected with control MCU, controls MCU according to acquisition
The incoming semantic definition judgment result output gain adjustment signal of brain electricity of module, adjusts the yield value of bone conduction vibrator, that is, changes
Become vibration frequency/amplitude of bone conduction vibrator, and then realizes that volume and frequency are adjusted；
The acquisition module includes conductance voice acquisition module, electroencephalogramsignal signal acquisition module and signal processing MCU；The conductance language
Sound acquisition module includes microphone, and microphone is passed collected voice signal by ADC converter for acquiring external sound
To the signal processing MCU, the signal processing MCU carries out noise reduction process to voice signal, passes through Wiener filtering noise reduction algorithm
Noise modeling and denoising are carried out to ambient sound to different classes of respectively, for unstable to voice noise, using harmonic wave frequency
Rate inhibits method, reduces the noise that syllable and inter-syllable pause, and voice signal after treatment passes through DAC converter again and reaches institute
State osteoacusis part；
The electroencephalogramsignal signal acquisition module includes dry/wet electrode, and the dry/wet electrode will be adopted for the acquisition to EEG signals
The EEG signals collected reach signal processing MCU and are pre-processed, and signal processing MCU can carry out pretreated EEG signals
Feature extraction extracts and is able to reflect user's difference language and makes an uproar attention change EEG signals feature under environment, then by signal characteristic
Input signal handles the adaptive line classifier algorithm module based on stochastic gradient built in MCU and carries out pattern-recognition, thus
Judge current semantic clarity；
The signal processing MCU is connected by SPI communication agreement with the control MCU of above-mentioned control section；Control MCU receives letter
Number processing MCU feedback semantic clarity after, using Direct-type self-adjustment fuzzy controller algorithm, according to current semantics clarity
The yield value of auto-adjustment control MCU, and the coefficient in fuzzy algorithmic approach formula is corrected immediately, after the correction gain value of control section,
The frequency and amplitude of bone conduction vibrator vibration are adjusted, realizes the control to sound size and frequency；
Its method and step is as follows:
(1) external sound reaches the noise reduction module of signal processing MCU by conductance voice module, then reaches osteoacusis module, bone
Oscillator is conducted according to preset frequency and amplitude vibrations, and user generates specific EEG signals according to semantic clarity at this time；
(2) the signal processing MCU of acquisition module can/wet electrode collected user dry to brain wave acquisition module EEG signals into
Row pretreatment, feature extraction, tagsort judge the semantic clarity of user's perception；
(3) the semantic clarity that control module judges according to signal processing MCU adjusts the frequency and amplitude of bone conduction vibrator
It is whole, if semantic clarity is small, frequency is corrected, increases amplitude；
(4) due to the instantaneity of brain wave, above-mentioned steps (1)-(3) will be recycled always during use, the frequency of bone conduction vibrator
It can be adjusted with the variation dynamic of semantic clarity with amplitude, to realize the automatic growth control of ossiphone.
2. the ossiphone auto gain control method according to claim 1 based on brain electricity EEG, feature exist
In: the microphone is adaptive direction microphone.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113115190A (en) * | 2021-03-31 | 2021-07-13 | 歌尔股份有限公司 | Audio signal processing method, device, equipment and storage medium |
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Application publication date: 20191022 |