CN103813251A - Hearing-aid denoising device and method allowable for adjusting denoising degree - Google Patents
Hearing-aid denoising device and method allowable for adjusting denoising degree Download PDFInfo
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- CN103813251A CN103813251A CN201410074153.0A CN201410074153A CN103813251A CN 103813251 A CN103813251 A CN 103813251A CN 201410074153 A CN201410074153 A CN 201410074153A CN 103813251 A CN103813251 A CN 103813251A
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Abstract
The invention provides a hearing-aid denoising device and method allowable for adjusting denoising degree. The hearing-aid denoising device allowable for adjusting denoising degree comprises an spectrum estimation module, a spectrum mean value module, an endpoint detection module, a Wiener filtering module, a denoising degree setting module and an inverse fast fourier transform module, wherein the endpoint detection module is used for determining whether a current frame is a voice frame, a sub-voice frame, a sub-noise frame or a noise frame and correspondingly setting marks; the Wiener filtering module is used for performing Wiener filtering operation and obtaining Wiener filtering coefficient; the denoising degree setting module is used for determining noise reduction degree according to the marks of the endpoint detection module and the Wiener filtering coefficient of the Wiener filtering module; the inverse fast fourier transform module is used for converting a frequency domain of a processed signal to a time domain so as to obtain a denoised signal. By means of the hearing-aid denoising device and method allowable for adjusting denoising degree, a user can control noise strength suppression on the basis of independent choice, and thereby, operating flexibility and comfortable experience levels of the user can be improved.
Description
Technical field
The present invention relates to a kind of denoising apparatus and method of hearing aids, relate more specifically to a kind of hearing aids denoising apparatus and method of adjustable denoising degree.
Background technology
Along with the development of modern science and technology, digital deaf-aid is accepted by increasing Deaf and Hard of Hearing Talents gradually with its powerful signal handling capacity.But under noise circumstance, hearing aids wearer can degradation to the intelligibility of voice.Therefore, squelch circuit module is particularly important for the speech processes of hearing aids.Some conventional denoising methods comprise the methods such as spectrum-subtraction, Wiener Filter Method, subspace sound enhancement method at present, and wherein the most frequently used is Wiener Filter Method, and it can remove background noise, white noise and some music noises etc. in environment.
Conventional a kind of Wiener filtering algorithm is ETSI(ETSI) standard ETSI ES 202 050 V1.1.5(2007-01).Fig. 1 is the FB(flow block) of the two-stage Wiener Filtering of prior art.As shown in Figure 1, two-stage Mel warpage Wiener filtering application Mel territory triangular filter group to the Mel territory relevant to speech perception, is then carried out filtering to signal by Wiener filtering coefficients conversion.
In the first order, calculate the spectrum of incoming frame by spectrum estimation module, spectrum average module obtains the power spectrum of time smoothing by the power spectrum average between the frame of front and back, end-point detection (Voice Activity Detection, VADNest) module judges that present frame is speech frame or pure noise frame.After Wiener filtering module completes the calculating of linear frequency filter coefficient, adopt and beautify band module and carry out smooth operation and obtain Mel warpage Wiener filtering coefficient, then carry out Mel IDCT operation and obtain the time domain impulse response of Mel warpage Weiner filter.Then, by filtration module, filter impulse response and input speech signal are carried out to convolution, thereby realize Wiener filtering process.
In composing and estimating, need to carry out FFT conversion to 256, then frequency domain is carried out square obtaining frequency spectrum.Fig. 2 is the FB(flow block) of the end-point detection (VADNest) in the two-stage Wiener Filtering of prior art, wherein asks the formula of FRAME_EN to be:
As shown in Figure 1, what the Wiener filtering of the second level was different from the first order is after beautifying and asking for the each sub-band filter coefficient of Mel yardstick in band module, in gain regulation module, coefficient has been carried out to gain process.Utilize gain process to make the more noise of the degree of depth to the lower signal frame of signal to noise ratio (snr) and eliminate, the signal frame higher on SNR gains to lower filter impact by reducing filter factor, eliminates the degree of depth thereby reduce noise.By such processing, further reduce the amplitude of noise signal, retain as far as possible voice signal simultaneously, be conducive to improve the accuracy rate of identification.In addition, go DC Module for eliminating DC component.
Can find out from Fig. 1 and Fig. 2, existing algorithm is all directly to judge that current signal frame is speech frame or noise frame, then carries out different disposal to different frames.But directly processing meeting is applied to all patients that need hearing aids too tough, this is unsuitable to everyone.For example: some people thinks that number voice is not noise, but some people just feels it is noise.Therefore caused very large trouble.
Summary of the invention
Technical problem to be solved by this invention is for different hearing loss patients, and patient can oneself adjust the degree of denoising.
The embodiment of the present invention provides a kind of hearing aids denoising device of adjustable denoising degree, comprising: spectrum estimation module, for by overlapping input signal point frame and obtain the power spectrum of incoming frame; Spectrum average module, is coupled in spectrum estimation module, thereby obtains the power spectrum of time smoothing for the power spectral density of front and back two frames is carried out to equal Value Operations; Endpoint detection module, for judging that present frame is speech frame, inferior speech frame, inferior noise frame or noise frame and mark is correspondingly set; Wiener filtering module, is coupled in endpoint detection module, for carrying out Wiener filtering operation and obtaining Wiener filtering coefficient; Denoising degree arranges module, is coupled in endpoint detection module and Wiener filtering module, decides the degree to noise attentuation for basis from the mark of endpoint detection module with from the Wiener filtering coefficient of Wiener filtering module; And inverse fast Fourier transform module, be coupled in denoising degree module is set, for processed signal is converted back to time domain from frequency domain, thereby obtain the signal after denoising.
The embodiment of the present invention also provides a kind of hearing aids denoising method of adjustable denoising degree, comprising: by overlapping input signal point frame and obtain the power spectrum of incoming frame; Thereby the power spectral density of front and back two frames is carried out equal Value Operations and is obtained the power spectrum of time smoothing; Judge that present frame is speech frame, inferior speech frame, inferior noise frame or noise frame and mark is correspondingly set; Carry out Wiener filtering operation and obtain Wiener filtering coefficient; Decide the degree to noise attentuation according to mark and Wiener filtering coefficient; And processed signal is converted back to time domain from frequency domain, thereby obtain the signal after denoising.
The hearing aids denoising apparatus and method of adjustable denoising degree provided by the invention can independently select to control the intensity that suppresses noise by user, thereby improve user's operating flexibility and experience comfort level.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the FB(flow block) of the two-stage Wiener Filtering of prior art.
Fig. 2 is the FB(flow block) of the end-point detection in the two-stage Wiener Filtering of prior art.
Fig. 3 is the structural representation of the hearing aids denoising device of the adjustable denoising degree that provides of one embodiment of the invention.
Fig. 4 is the schematic flow sheet of the hearing aids denoising method of the adjustable denoising degree that provides of one embodiment of the invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
Fig. 3 is the structural representation of the hearing aids denoising device 300 of the adjustable denoising degree that provides of one embodiment of the invention.Hearing aids denoising device 300 comprises that spectrum estimation module 302, spectrum average module 304, Wiener filtering module 306, denoising degree arrange module 308, end-point detection (VAD) module 310 and inverse fast Fourier transform (IFFT) module 312.
In the time of D >=T3, present frame is judged as speech frame, and mark flagVAD is set to 11;
In the time of T2≤D<T3, present frame is judged as time speech frame, and mark flagVAD is set to 10;
In the time of T1≤D<T2, present frame is judged as time noise frame, and mark flagVAD is set to 01;
In the time of D<T1, present frame is judged as noise frame, and mark flagVAD is set to 00;
Compared with prior art, according to the hearing aids denoising device 300 of the adjustable denoising degree of the embodiment of the present invention also novel comprise that denoising degree arranges module 308.Utilize this module, user can independently select to control the intensity that suppresses noise, thereby improves user's operating flexibility and experience comfort level.After obtaining Wiener filtering coefficient H by Wiener filtering module 306, Wiener filtering coefficient H is introduced to denoising degree module 308 is set.Denoising degree arranges module 308 according to deciding the degree to noise attentuation from the mark flagVAD of VAD module 310 with from the Wiener filtering coefficient H of Wiener filtering module 306.For example:
In the time that flagVAD is 11, noise attentuation H_o=β H;
In the time that flagVAD is 10, noise attentuation H_o=0.95 β H;
In the time that flagVAD is 01, noise attentuation H_o=0.87 β H;
In the time that flagVAD is 00, noise attentuation H_o=0.65 β H;
Wherein attenuation parameter β value can be tested to join by own manual adjustment and obtain.In a preferred embodiment, the span that we limit attenuation parameter β is 0.9 ~ 1.5.
Advantageously, the present invention program can make VAD judgement so not absolute, is that the situation between noise frame and speech frame is segmented for some on the contrary, and user, from the degree of main regulation denoising, makes user obtain better comfort level like this.By the improvement to VAD module, can distinguish the situation between speech frame and noise frame, and carry out different decay for different situations, the adjustable denoising degree of user.
Fig. 4 is the schematic flow sheet of the hearing aids denoising method 400 of the adjustable denoising degree that provides of one embodiment of the invention.Below with reference to Fig. 3, Fig. 4 is described.
At step S402: divide frame by input signal and obtain the power spectrum of incoming frame.For example, the spectrum estimation module 302 in Fig. 3 is overlapping input signal point frame, by fast Fourier transform (FFT), frame is transformed into frequency domain and obtains the power spectrum of incoming frame from time domain.
In step S404, thereby carry out equal Value Operations and obtain the power spectrum of time smoothing.For example, thus the spectrum average module 304 in Fig. 3 is carried out equal Value Operations and obtains the power spectrum of time smoothing to the power spectral density of front and back two frames.
In step S406, carry out end-point detection and Wiener filtering operation.For example, the end-point detection in Fig. 3 (VAD) module 310 can depend on the variance of unlike signal frame judges that in which interval present frame is speech frame, inferior speech frame, inferior noise frame or noise frame.Correspondingly, mark flagVAD can be set to respectively to 11,10,01 and 00 in one embodiment.In addition, the Wiener filtering module 306 in Fig. 3 can be carried out the operation of two-stage Wiener filtering.In the noise of first order filtering stage is estimated, for example, according to the testing result of VAD module 310 (, mark flagVAD) non-speech segment is upgraded.In the noise of second level filtering stage is estimated, utilize the correlation between voice and noise to upgrade.Wiener filtering module 306 is obtained Wiener filtering coefficient H.
In step S408, decide the degree to noise attentuation according to the result of end-point detection and Wiener filtering operation.For example, the denoising degree in Fig. 3 arranges module 308 according to deciding the degree to noise attentuation from the mark flagVAD of VAD module 310 with from the Wiener filtering coefficient H of Wiener filtering module 306.In one embodiment, in the time that flagVAD is 11, noise attentuation H_o=β H; In the time that flagVAD is 10, noise attentuation H_o=0.95 β H; In the time that flagVAD is 01, noise attentuation H_o=0.87 β H; In the time that flagVAD is 00, noise attentuation H_o=0.65 β H.Wherein attenuation parameter β value can be tested to join by own manual adjustment and obtain.In a preferred embodiment, the span that we limit attenuation parameter β is 0.9 ~ 1.5.
In step S410, the signal of processing is converted back to time domain from frequency domain, thereby obtain the signal after denoising.For example, the IFFT module 312 in Fig. 3 converts back time domain by processed signal from frequency domain, thereby obtains the signal after denoising.
Advantageously, can independently select to control the intensity that suppresses noise by user according to the hearing aids denoising apparatus and method of the adjustable denoising degree of the embodiment of the present invention, thereby improve user's operating flexibility and experience comfort level.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any modifications of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. a hearing aids denoising device for adjustable denoising degree, comprising:
Spectrum estimation module, for by overlapping input signal point frame and obtain the power spectrum of incoming frame;
Spectrum average module, is coupled in described spectrum estimation module, thereby obtains the power spectrum of time smoothing for the power spectral density of front and back two frames is carried out to equal Value Operations;
Endpoint detection module, for judging that present frame is speech frame, inferior speech frame, inferior noise frame or noise frame and mark is correspondingly set;
Wiener filtering module, is coupled in described endpoint detection module, for carrying out Wiener filtering operation and obtaining Wiener filtering coefficient;
Denoising degree arranges module, be coupled in described endpoint detection module and described Wiener filtering module, decide the degree to noise attentuation for basis from the described mark of described endpoint detection module with from the described Wiener filtering coefficient of described Wiener filtering module; And
Inverse fast Fourier transform module, is coupled in described denoising degree module is set, and for processed signal is converted back to time domain from frequency domain, thereby obtains the signal after denoising.
2. hearing aids denoising device as claimed in claim 1, it is characterized in that, described endpoint detection module is by relatively incoming frame energy and multiple threshold value judge that described present frame is speech frame, inferior speech frame, inferior noise frame or noise frame and multiple marks are correspondingly set.
3. hearing aids denoising device as claimed in claim 2, it is characterized in that, described multiple threshold value comprises first threshold, Second Threshold and the 3rd threshold value, described first threshold is less than described Second Threshold and described Second Threshold is less than described the 3rd threshold value, wherein, in the time that described incoming frame energy is less than described first threshold, described present frame is judged as noise frame and described mark is set to the first value; In the time that described incoming frame energy is more than or equal to described first threshold and is less than described Second Threshold, described present frame is judged as time noise frame and described mark is set to the second value; In the time that described incoming frame energy is more than or equal to described Second Threshold and is less than described the 3rd threshold value, described present frame is judged as time speech frame and described mark is set to the 3rd value; And in the time that described incoming frame energy is more than or equal to described the 3rd threshold value, described present frame is judged as speech frame and described mark is set to the 4th value.
4. hearing aids denoising device as claimed in claim 3, is characterized in that, when described, while being masked as the first value, described noise attentuation equals the product of attenuation parameter and described Wiener filtering coefficient and 0.65; When described, while being masked as the second value, described noise attentuation equals the product of attenuation parameter and described Wiener filtering coefficient and 0.87; When described, while being masked as the 3rd value, described noise attentuation equals the product of attenuation parameter and described Wiener filtering coefficient and 0.95; And when described in while being masked as the 4th value, described noise attentuation equals the product of attenuation parameter and described Wiener filtering coefficient.
5. hearing aids denoising device as claimed in claim 4, is characterized in that, the span of described attenuation parameter is 0.9 ~ 1.5.
6. a hearing aids denoising method for adjustable denoising degree, comprising:
By overlapping input signal point frame and obtain the power spectrum of incoming frame;
Thereby the power spectral density of front and back two frames is carried out equal Value Operations and is obtained the power spectrum of time smoothing;
Judge that present frame is speech frame, inferior speech frame, inferior noise frame or noise frame and mark is correspondingly set;
Carry out Wiener filtering operation and obtain Wiener filtering coefficient;
Decide the degree to noise attentuation according to described mark and described Wiener filtering coefficient; And
Processed signal is converted back to time domain from frequency domain, thereby obtain the signal after denoising.
7. hearing aids denoising method as claimed in claim 6, is characterized in that, judges that present frame is that speech frame, inferior speech frame, inferior noise frame or noise frame and the described step that mark is correspondingly set comprise:
By relatively incoming frame energy and multiple threshold value judge that described present frame is speech frame, inferior speech frame, inferior noise frame or noise frame and multiple marks are correspondingly set.
8. hearing aids denoising method as claimed in claim 7, it is characterized in that, described multiple threshold value comprises first threshold, Second Threshold and the 3rd threshold value, described first threshold is less than described Second Threshold and described Second Threshold is less than described the 3rd threshold value, wherein, in the time that described incoming frame energy is less than described first threshold, described present frame is judged as noise frame and described mark is set to the first value; In the time that described incoming frame energy is more than or equal to described first threshold and is less than described Second Threshold, described present frame is judged as time noise frame and described mark is set to the second value; In the time that described incoming frame energy is more than or equal to described Second Threshold and is less than described the 3rd threshold value, described present frame is judged as time speech frame and described mark is set to the 3rd value; And in the time that described incoming frame energy is more than or equal to described the 3rd threshold value, described present frame is judged as speech frame and described mark is set to the 4th value.
9. hearing aids denoising method as claimed in claim 8, is characterized in that, when described, while being masked as the first value, described noise attentuation equals the product of attenuation parameter and described Wiener filtering coefficient and 0.65; When described, while being masked as the second value, described noise attentuation equals the product of described attenuation parameter and described Wiener filtering coefficient and 0.87; When described, while being masked as the 3rd value, described noise attentuation equals the product of described attenuation parameter and described Wiener filtering coefficient and 0.95; And when described in while being masked as the 4th value, described noise attentuation equals the product of described attenuation parameter and described Wiener filtering coefficient.
10. hearing aids denoising method as claimed in claim 9, is characterized in that, the span of described attenuation parameter is 0.9 ~ 1.5.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104602157A (en) * | 2015-01-28 | 2015-05-06 | 深圳市冠旭电子有限公司 | Earphone noise reduction method and device |
| CN104867499A (en) * | 2014-12-26 | 2015-08-26 | 深圳市微纳集成电路与系统应用研究院 | Frequency-band-divided wiener filtering and de-noising method used for hearing aid and system thereof |
| CN107305774A (en) * | 2016-04-22 | 2017-10-31 | 腾讯科技（深圳）有限公司 | Speech detection method and device |
| CN108053834A (en) * | 2017-12-05 | 2018-05-18 | 北京声智科技有限公司 | audio data processing method, device, terminal and system |
| CN109616133A (en) * | 2018-09-28 | 2019-04-12 | 广州智伴人工智能科技有限公司 | A kind of environmental noise removal system |
| CN112002339A (en) * | 2020-07-22 | 2020-11-27 | 海尔优家智能科技（北京）有限公司 | Voice noise reduction method and device, computer-readable storage medium and electronic device |
| CN112201273A (en) * | 2019-07-08 | 2021-01-08 | 北京声智科技有限公司 | Noise power spectral density calculation method, system, equipment and medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6415253B1 (en) * | 1998-02-20 | 2002-07-02 | Meta-C Corporation | Method and apparatus for enhancing noise-corrupted speech |
| CN1523573A (en) * | 2003-09-12 | 2004-08-25 | 中国科学院声学研究所 | A multichannel speech enhancement method using postfilter |
| WO2004077407A1 (en) * | 2003-02-27 | 2004-09-10 | Motorola Inc | Estimation of noise in a speech signal |
| CN1967659A (en) * | 2005-11-14 | 2007-05-23 | 北京大学科技开发部 | Speech enhancement method applied to deaf-aid |
-
2014
- 2014-03-03 CN CN201410074153.0A patent/CN103813251B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6415253B1 (en) * | 1998-02-20 | 2002-07-02 | Meta-C Corporation | Method and apparatus for enhancing noise-corrupted speech |
| WO2004077407A1 (en) * | 2003-02-27 | 2004-09-10 | Motorola Inc | Estimation of noise in a speech signal |
| CN1523573A (en) * | 2003-09-12 | 2004-08-25 | 中国科学院声学研究所 | A multichannel speech enhancement method using postfilter |
| CN1967659A (en) * | 2005-11-14 | 2007-05-23 | 北京大学科技开发部 | Speech enhancement method applied to deaf-aid |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104867499A (en) * | 2014-12-26 | 2015-08-26 | 深圳市微纳集成电路与系统应用研究院 | Frequency-band-divided wiener filtering and de-noising method used for hearing aid and system thereof |
| CN104602157A (en) * | 2015-01-28 | 2015-05-06 | 深圳市冠旭电子有限公司 | Earphone noise reduction method and device |
| CN104602157B (en) * | 2015-01-28 | 2018-11-02 | 深圳市冠旭电子股份有限公司 | A kind of earphone noise-reduction method and device |
| CN107305774A (en) * | 2016-04-22 | 2017-10-31 | 腾讯科技（深圳）有限公司 | Speech detection method and device |
| US10872620B2 (en) | 2016-04-22 | 2020-12-22 | Tencent Technology (Shenzhen) Company Limited | Voice detection method and apparatus, and storage medium |
| CN108053834A (en) * | 2017-12-05 | 2018-05-18 | 北京声智科技有限公司 | audio data processing method, device, terminal and system |
| CN108053834B (en) * | 2017-12-05 | 2020-02-21 | 北京声智科技有限公司 | Audio data processing method, device, terminal and system |
| CN109616133A (en) * | 2018-09-28 | 2019-04-12 | 广州智伴人工智能科技有限公司 | A kind of environmental noise removal system |
| CN109616133B (en) * | 2018-09-28 | 2021-11-30 | 广州智伴人工智能科技有限公司 | Environmental noise removing system |
| CN112201273A (en) * | 2019-07-08 | 2021-01-08 | 北京声智科技有限公司 | Noise power spectral density calculation method, system, equipment and medium |
| CN112002339A (en) * | 2020-07-22 | 2020-11-27 | 海尔优家智能科技（北京）有限公司 | Voice noise reduction method and device, computer-readable storage medium and electronic device |
| CN112002339B (en) * | 2020-07-22 | 2024-01-26 | 海尔优家智能科技（北京）有限公司 | Speech noise reduction method and device, computer-readable storage medium and electronic device |
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Effective date of registration: 20180126 Address after: 518000 Guangdong city of Shenzhen province Nanshan District Taoyuan Street Xueyuan Road No. 1001 Nanshan Chi Park C3 building 22 floor Patentee after: Shenzhen micro nano perception Computing Technology Co., Ltd. Address before: 518000 Shenzhen International Software Park, Shenzhen, Shenzhen, Guangdong Province, 4, 425 Patentee before: Shenzhen Micro & Nano Integrated Circuit and System Application Institute |