CN106060717A - High-definition dynamic noise-reduction pickup - Google Patents
High-definition dynamic noise-reduction pickup Download PDFInfo
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- CN106060717A CN106060717A CN201610354629.5A CN201610354629A CN106060717A CN 106060717 A CN106060717 A CN 106060717A CN 201610354629 A CN201610354629 A CN 201610354629A CN 106060717 A CN106060717 A CN 106060717A
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- 238000004458 analytical method Methods 0.000 claims abstract description 11
- 239000002131 composite material Substances 0.000 claims description 7
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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
- H04R3/00—Circuits for transducers, loudspeakers or microphones
- H04R3/04—Circuits for transducers, loudspeakers or microphones for correcting frequency response
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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
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/08—Mouthpieces; Microphones; Attachments therefor
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- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
Abstract
The invention discloses a high-definition dynamic noise-reduction pickup and a dynamic noise reduction method. A dynamic noise reduction system comprises a microphone signal output end, a coding and decoding device, a high-pass filter and an analysis filter which are in successive signal processing connection; and the analysis filter is connected with a power spectrum calculation module and a noise suppression module, the power spectrum calculation module is connected with a sub-band signal estimation module and a primary noise estimation module, the primary noise estimation module is connected with a secondary noise estimation module, the sub-band signal estimation module and the secondary noise estimation module are connected with a sub-band gain calculation module, and the sub-band gain calculation module is connected with the noise suppression module. The high-definition dynamic noise-reduction pickup has the advantages of the high noise suppression capability and high voice definition, and secondary noise envelope estimation is adopted; voice attenuation while noise reduction processing can be effectively prevented, and the voice definition is substantially improved; and the high-definition dynamic noise-reduction pickup can be widely applied to the technical field of sound noise reduction and sound definition improvement.
Description
Technical field
The present invention relates to pick up denoising structure and noise-reduction method field, particularly a kind of fine definition DNR dynamic noise reduction pickup
Device.
Background technology
Current pick up is divided into following two by pickup mode: one is common microphone, and common microphone is by straight
Connect pickup sound wave and realize pickup, be therefore easy to be affected by surrounding enviroment and scurry into noise；Another kind is contacting microphone, connects
Touch mike must be in close contact with human skin when using, and the vibration realizing that during by absorbing human body sounding, skin produces is picked up
Sound, although contacting microphone can filter off the most noise of surrounding enviroment, but owing to making contacting microphone be in close contact
The parts of human skin can absorb surrounding air vibration, and surrounding air vibration is passed to contacting microphone, therefore contacts
The background noise of formula mike is the biggest.
Owing to environment noise exists bigger interference to acoustical signal, have a strong impact on the identification of voice, even make pickup
Device loses meaning, it is therefore desirable to pick up and noise-reduction method do the design more optimized and improves.
Summary of the invention
In order to overcome the disadvantages mentioned above of prior art, it is an object of the invention to provide one, to have noise inhibiting ability strong
, fine definition DNR dynamic noise reduction pick up that speech intelligibility is high and DNR dynamic noise reduction method.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of fine definition DNR dynamic noise reduction pick up, processes the microphone signal input of connection, encoding and decoding successively including signal
Device, high pass filter and analysis filter, wherein: the output signal of described analysis filter connect have power spectrum computing module and
Noise suppression module, the output signal of described spectra calculation module connects has subband signal estimation module and primary noise to estimate
Module, described primary noise estimation module output signal connect secondary noise estimation module, described subband signal estimation module and
The output signal end of secondary noise estimation module connects subband gain calculation module, the output letter of described subband gain computing module
Number connect noise suppression module, the output signal of described noise suppression module is sequentially connected with composite filter, codec and receipts
Listen interface.
As a further improvement on the present invention: the input sampling rate of described codec is 16KHz, sampling precision is
16bit。
As a further improvement on the present invention: the cut-off frequency of described high pass filter is 20Hz.
As a further improvement on the present invention: a kind of DNR dynamic noise reduction method of fine definition pick up, wherein: include following
Signal processing step:
1) acoustical signal of mike collection transfers digitized signal to through codec, and digitized signal first passes around high pass filter
Ripple device removes dc component, and then analysis filter is converted into frequency domain sub-band signal X(k).
2) frequency domain sub-band signal X(k), through spectra calculation module, obtain subband signal power spectrum, use first order pole simultaneously
Recursive models dynamically estimates the signal envelope of subband and noise envelope is estimated, therefore subband signal power spectrum is estimated through subband signal
Meter module draws the subband signal envelope estimated value of corresponding time, and wherein the signal envelope of subband estimates that model is:
When envS (i)=Xs (i)+Alpha * [envS (i-1)-Xs (i)]-----signal envelope rises；
EnvS (i)=Xs (i)+Beta * [envS (i-1)-Xs (i)]-----is when signal envelope falls；
Wherein i is time index, and envS (i) is current demand signal envelope estimated value, and envS (i-1) is a upper signal envelope value；
Xs (i) is the power spectrum amplitude of current frequency domain subband signal；Alpha and Beta respectively signal rises, the time of the section of falling is normal
Number；
Simultaneously in order to ensure the convergence of Noise Estimation, prevent excess compression phonetic element, it is ensured that speech intelligibility, subband signal
Power spectrum is through for estimating the primary noise estimation module of voice activity and making an uproar for only subband in inactive speech
The secondary noise estimation module that sound amplitude updates obtains subband noise and estimates envelope value；
4) subband signal envelope estimated value and the subband noise of corresponding time estimates that envelope value obtains correspondence through subband gain module
Signal gain value G (k) of time；
5) subband signal X(k) and signal gain value G (k) after noise suppression module, obtain the repressed frequency-region signal of noise, make an uproar
The repressed frequency-region signal of sound obtains the repressed time-domain signal of noise, noise repressed time-domain signal warp through composite filter
Codec exports listens to interface.
Compared with prior art, the invention has the beneficial effects as follows: the present invention is by carrying out systematization filtration to acoustical signal
Analyzing and processing, uses scientific and reasonable signal and noise envelope statistical method, it is possible to effectively suppress noise power, is provided with two grades
Noise Estimation module, is used for estimating voice activity through primary noise estimation module, through secondary noise estimation module only in non-live
The subband of dynamic voice carries out noise amplitude renewal, so effectively prevent voice decay during noise reduction process, significantly improves language
Sound definition, the composite can be widely applied to noise reduction, improves sound articulation technical field.
Accompanying drawing explanation
Fig. 1 is the structural representation of the present invention.
Detailed description of the invention
Illustrate that the present invention is further described with embodiment in conjunction with accompanying drawing:
A kind of fine definition DNR dynamic noise reduction pick up, processes the microphone signal input of connection, encoding and decoding successively including signal
Device, high pass filter and analysis filter, wherein: the output signal of described analysis filter connect have power spectrum computing module and
Noise suppression module, the output signal of described spectra calculation module connects has subband signal estimation module and primary noise to estimate
Module, described primary noise estimation module output signal connect secondary noise estimation module, described subband signal estimation module and
The output signal end of secondary noise estimation module connects subband gain calculation module, the output letter of described subband gain computing module
Number connect noise suppression module, the output signal of described noise suppression module is sequentially connected with composite filter, codec and receipts
Listen interface.
The input sampling rate of described codec is 16KHz, and sampling precision is 16bit, by codec simulation
Signal quantization is digital signal, it is simple to Digital Signal Processing.
The cut-off frequency of described high pass filter is 20Hz, for removing the dc component in signal, prevents follow-up signal
That estimates dissipates.
A kind of DNR dynamic noise reduction method of fine definition pick up, wherein: include signals below process step:
1) acoustical signal of mike collection transfers digitized signal to through codec, and digitized signal first passes around high pass filter
Ripple device removes dc component, and then analysis filter is converted into frequency domain sub-band signal X(k).
2) frequency domain sub-band signal X(k), through spectra calculation module, obtain subband signal power spectrum, use first order pole simultaneously
Recursive models dynamically estimates the signal envelope of subband and noise envelope is estimated, therefore subband signal power spectrum is estimated through subband signal
Meter module draws the subband signal envelope estimated value of corresponding time, and wherein the signal envelope of subband estimates that model is:
When envS (i)=Xs (i)+Alpha * [envS (i-1)-Xs (i)]-----signal envelope rises；
EnvS (i)=Xs (i)+Beta * [envS (i-1)-Xs (i)]-----is when signal envelope falls；
Wherein i is time index, and envS (i) is current demand signal envelope estimated value, and envS (i-1) is a upper signal envelope value；
Xs (i) is the power spectrum amplitude of current frequency domain subband signal；Alpha and Beta respectively signal rises, the time of the section of falling is normal
Number；
Simultaneously in order to ensure the convergence of Noise Estimation, prevent excess compression phonetic element, it is ensured that speech intelligibility, subband signal
Power spectrum is through for estimating the primary noise estimation module of voice activity and making an uproar for only subband in inactive speech
The secondary noise estimation module that sound amplitude updates obtains subband noise and estimates envelope value；
4) subband signal envelope estimated value and the subband noise of corresponding time estimates that envelope value obtains correspondence through subband gain module
Signal gain value G (k) of time, subband gain computing module is the formant of noise suppressed, and its principle is to be tied by estimation
Really, first calculate the signal to noise ratio of each frequency domain sub-band, then according to weiner equalizer, by the gain of each subband of signal-to-noise ratio computation
Value, is designated as G (k)；
5) subband signal X(k) and signal gain value G (k) after noise suppression module, obtain the repressed frequency-region signal of noise, make an uproar
The repressed frequency-region signal of sound obtains the repressed time-domain signal of noise, noise repressed time-domain signal warp through composite filter
Codec exports listens to interface, gives bigger decay for the subband that signal to noise ratio is relatively low, and higher for signal to noise ratio
Subband gives less decay, these signal gains is multiplied with subband signal, it is achieved thereby that the suppression function of noise.
In sum, after those of ordinary skill in the art reads file of the present invention, according to technical scheme and
Technology design makes other various corresponding conversion scheme without creative mental work, belongs to the model that the present invention is protected
Enclose.
Claims (4)
1. a fine definition DNR dynamic noise reduction pick up, processes the microphone signal input of connection successively, compiles solution including signal
Code device, high pass filter and analysis filter, it is characterised in that: the output signal of described analysis filter connects power spectrum meter
Calculating module and noise suppression module, the output signal of described spectra calculation module connects subband signal estimation module and primary
Noise Estimation module, described primary noise estimation module output signal connects secondary noise estimation module, and described subband signal is estimated
The output signal end of meter module and secondary noise estimation module connects subband gain calculation module, described subband gain computing module
Output signal connect noise suppression module, the output signal of described noise suppression module be sequentially connected with composite filter, compile solve
Code device and listen to interface.
A kind of fine definition DNR dynamic noise reduction pick up the most according to claim 1, it is characterised in that: described codec
Input sampling rate be 16KHz, sampling precision is 16bit.
A kind of fine definition DNR dynamic noise reduction pick up the most according to claim 2, it is characterised in that: described high-pass filtering
The cut-off frequency of device is 20Hz.
4. the DNR dynamic noise reduction method of a fine definition pick up, it is characterised in that: include signals below process step:
1) acoustical signal of mike collection transfers digitized signal to through codec, and digitized signal first passes around high pass filter
Ripple device removes dc component, and then analysis filter is converted into frequency domain sub-band signal X(k).
2) frequency domain sub-band signal X(k), through spectra calculation module, obtain subband signal power spectrum, use first order pole recurrence simultaneously
Model dynamically estimates the signal envelope of subband and noise envelope is estimated, therefore subband signal power spectrum estimates mould through subband signal
Block draws the subband signal envelope estimated value of corresponding time, and wherein the signal envelope of subband estimates that model is:
When envS (i)=Xs (i)+Alpha * [envS (i-1)-Xs (i)]-----signal envelope rises；
EnvS (i)=Xs (i)+Beta * [envS (i-1)-Xs (i)]-----is when signal envelope falls；
Wherein i is time index, and envS (i) is current demand signal envelope estimated value, and envS (i-1) is a upper signal envelope value；
Xs (i) is the power spectrum amplitude of current frequency domain subband signal；Alpha and Beta respectively signal rises, the time of the section of falling is normal
Number；
Simultaneously in order to ensure the convergence of Noise Estimation, prevent excess compression phonetic element, it is ensured that speech intelligibility, subband signal
Power spectrum is through for estimating the primary noise estimation module of voice activity and making an uproar for only subband in inactive speech
The secondary noise estimation module that sound amplitude updates obtains subband noise and estimates envelope value；
4) subband signal envelope estimated value and the subband noise of corresponding time estimates that envelope value obtains correspondence through subband gain module
Signal gain value G (k) of time；
5) subband signal X(k) and signal gain value G (k) after noise suppression module, obtain the repressed frequency-region signal of noise, make an uproar
The repressed frequency-region signal of sound obtains the repressed time-domain signal of noise, noise repressed time-domain signal warp through composite filter
Codec exports listens to interface.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108510075A (en) * | 2018-04-19 | 2018-09-07 | 广西欣歌拉科技有限公司 | The monitoring inference system of sleep quality and environmental variance correlation |
| CN110022514A (en) * | 2019-05-17 | 2019-07-16 | 深圳市湾区通信技术有限公司 | Noise-reduction method, device, system and the computer storage medium of audio signal |
| CN114125632A (en) * | 2021-11-26 | 2022-03-01 | 深圳市逸音科技有限公司 | A filter device for active noise reduction headphones and noise reduction method thereof |
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| CN1201547A (en) * | 1995-09-14 | 1998-12-09 | 艾利森公司 | System for adaptively filtering audio signals to enhance speech intelligibility in noisy environmental conditions |
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| CN114125632A (en) * | 2021-11-26 | 2022-03-01 | 深圳市逸音科技有限公司 | A filter device for active noise reduction headphones and noise reduction method thereof |
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Application publication date: 20161026 |