CN107134281A - Adaptive filter coefficient update method during a kind of adaptive echo is eliminated - Google Patents
Adaptive filter coefficient update method during a kind of adaptive echo is eliminated Download PDFInfo
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- 230000009466 transformation Effects 0.000 claims description 3
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M9/00—Arrangements for interconnection not involving centralised switching
- H04M9/08—Two-way loud-speaking telephone systems with means for conditioning the signal, e.g. for suppressing echoes for one or both directions of traffic
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
- G10L2021/02082—Noise filtering the noise being echo, reverberation of the speech
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- Signal Processing (AREA)
- Computational Linguistics (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
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Abstract
Adaptive filter coefficient update method in being eliminated the invention discloses a kind of adaptive echo, including:Sef-adapting filter estimated echo signal y (k) is passed through according to the reference signal x (k) of pronunciation unit;Residual signal e (k) is calculated according to the signal d (k) that the y (k) and microphone are picked up;Calculate frequency domain reference signal X (f) power spectrum xPow (f);Calculate frequency domain residual signal E (f) power spectrum ePow (f);Calculate the conjugation residual signal E of the E (f)*(f) with the related power spectrum xePow (f) of the X (f);Calculate X (f) and E*(f) coefficient correlation cohxe (f);By the median cohxe in each cohxe (f)medAs sef-adapting filter in the adaptive step factor of each frequency, adaptive filter coefficient is updated.The coefficient correlation between residual signal and reference signal is updated adaptive filter coefficient by technical scheme, and effective echo cancellor can be carried out to each speech state.
Description
Technical field
The present invention relates to the echo processing technology in real-time speech communicating, interactive process, one kind is related specifically to
Adaptive filter coefficient update method during adaptive echo is eliminated.
Background technology
During real-time speech communicating, the sound that communication terminal loudspeaker is sent always is picked up by the microphone of the terminal
Get, if being sent without handling, other side can hear oneself one's voice in speech;In field of human-computer interaction, due to interaction
The sound that terminal is sent is gone back by microphone pickup again, while the voice of effector has been picked up, if in microphone pickup signals
In do not eliminate the sound that interactive terminal is sent, then interactive terminal is introduced into very strong dry when recognizing effector's sound of speaking
Disturb, reduce the success rate of identification, ultimately cause difficult interface.Therefore, it is necessary to enter to echo during real-time speech communicating
Row is adaptive to be eliminated, and it is typically what is realized using sef-adapting filter that adaptive echo, which is eliminated, in order to preferably realize echo
Eliminate, it is necessary to according to actual echo disturbed condition, be updated to the adaptive filter coefficient of sef-adapting filter.
The problem of adaptive filter coefficient updates in being eliminated for adaptive echo, prior art it is also proposed some skills
Art scheme, it is typical such as a kind of Chinese patent application " sef-adapting filter and filtering method for being used to eliminate acoustic echo " (Shen
Please number:201410073711.1) proposed in a kind of adaptive-filtering scheme for echo cancellor.The technical scheme is a kind of
Frequency domain adaptive filtering method, by the use of remote signaling x (n) as reference signal, by adaptive-filtering to propagation path h (n)
System estimation is carried out, and reference signal is filtered using the systematic parameter w (n) of estimation, and then eliminates terminal Mike's elegance
Echo in the signal d (n) collected obtains residual signals e (n).On the one hand e (n) is directly exported as filter result, it is another
Aspect is iterated control to adaptive filter coefficient using e (n).Control is being iterated to filter coefficient in the program
When, sef-adapting filter is once updated for R times per iteration to filter coefficient limitation parameter, and wherein R is set in advance solid
Definite value.
The problem of existing scheme, is:On the one hand, the renewal of adaptive filter coefficient and filter effect (residual signal)
Do not associate, and adjust not according to echo intensity the adaptive step factor in real time, it is impossible to ensure well it is various not
With if under sound-like state echo cancellor accuracy.
The content of the invention
In order to solve the above-mentioned problems in the prior art, the present invention proposes adaptive during a kind of adaptive echo is eliminated
Filter coefficient update method is answered, to realize the efficient adaptive echo cancellor under various speech states.
To achieve these goals, present invention employs following technical scheme:
Adaptive filter coefficient update method during a kind of adaptive echo is eliminated, including:
Sef-adapting filter estimated echo signal y (k) is passed through according to the reference signal x (k) of pronunciation unit;
Residual signal e (k) is calculated according to the signal d (k) that the y (k) and microphone are picked up:
E (k)=d (k)-y (k)
Calculate frequency domain reference signal X (f) power spectrum xPow (f);
Calculate frequency domain residual signal E (f) power spectrum ePow (f);
Wherein, E (f)=FFT [0M 0,e(k)];
Calculate the conjugation residual signal E of the E (f)*(f) with the related power spectrum xePow (f) of the X (f);
XePow (f)=| | X (f) E*(f)||2
Calculate X (f) and E*(f) coefficient correlation cohxe (f);
By the median cohxe in each cohxe (f)medAs sef-adapting filter each frequency adaptive step because
Son, updates adaptive filter coefficient:
Wherein, the k be the moment, k=1,2 ... M, M be the sef-adapting filter length;The f is frequency;Wk+1
(f) it is the adaptive filter coefficient after frequency f renewal;Wk(f) it is the adaptive filter coefficient before frequency f renewal.
Further, the estimated echo signal y (k) includes:
The reference signal x (k) of loudspeaker unit is converted into frequency domain reference signal X (f);
X (f)=FFT [x (k-M) ..., x (k) ..., x (k+M-1)]
Estimate frequency domain echo signal Y (f),
Fast fourier inverse transformation is carried out to the Y (f) and obtains y (k);
Y (k)=IFFT [Y (f)]
Wherein, the IFFT is fast fourier inverse transformation,Operated for frequency domain convolution;W (f) works as sef-adapting filter
It is preceding in adaptive filter coefficient used in frequency f.
Further, the renewal adaptive filter coefficient includes:
The frequency domain residual signal E (f) is normalized, the frequency domain residual signal E after being normalizednor
(f);
According to the Enor(f) adaptive filter coefficient is updated.
Technical scheme regard the coefficient correlation between residual signal and reference signal as the adaptive step factor
To realize the renewal of adaptive filter coefficient, greatly echo cancellor can be carried out to each speech state.Talking state
Four kinds are generally divided into, distal end is singly said, near-end list is said, both-end is talked, both-end is silent.State is singly said distal end, microphone pickup
It is echo signal, in the starting stage of sef-adapting filter, sef-adapting filter has a convergence process, residual signal and Mike
The echo signal intensity of wind pickup is suitable, then reference signal and the direct correlation of residual signal are very strong, then corresponding adaptive
Answer step factor also larger, when sef-adapting filter enter stable state when, residual signal is almost 0, now echo signal with
The correlation of residual signal is very weak, and only adaptive filter coefficient is finely adjusted.State is said to near-end list, residual signal is
The local terminal speech of microphone pickup, reference signal is 0, and the coefficient correlation now calculated is 0, without entering to sef-adapting filter
Row updates, and does not have echo now actually, is not required to carry out echo cancellor really.Both-end silent status, residual signal and ginseng
Examine signal all very weak, coefficient correlation also can very little.Meanwhile, the median of each frequency coefficient correlation is used in technical solution of the present invention
As the adaptive step factor, correlation central tendency is embodied, the effect of adaptive-filtering can be further improved.The present invention's
Technical scheme can effectively improve the accuracy of echo cancellor.
Brief description of the drawings
Adaptive filter coefficient update method flow chart during Fig. 1 adaptive echos of the present invention are eliminated.
Embodiment
In order to better illustrate technical scheme, the embodiment to the present invention is carried out below in conjunction with the accompanying drawings
It is described in detail.
Specific embodiment
The present embodiment is a kind of preferred reality of adaptive filter coefficient update method during adaptive echo of the present invention is eliminated
Apply mode.
Referring to Fig. 1, adaptive filter coefficient update method flow such as Fig. 1 institutes during the adaptive echo of the present embodiment is eliminated
Show, including:
S1, sef-adapting filter estimated echo signal y (k) passed through according to the reference signal x (k) of pronunciation unit;
As a kind of preferred implementation scheme of the present embodiment, this step can also include through one:
S101, the reference signal x (k) of loudspeaker unit is converted into frequency domain reference signal X (f).
X (f)=FFT [x (k-M) ..., x (k) ..., x (k+M-1)]
S102, estimation frequency domain echo signal Y (f),
Wherein, W (f) is current adaptive filter coefficient;
S103, the y (k) obtained according to the Y (f):
Y (k)=IFFT [Y (f)]
Wherein, the FFT is Fourier transform, and the IFFT is inverse fourier transform;
Originally it is that this step can also be estimated echo signal by other means in example, the present invention does not have to this
Limitation.
S2, the signal d (k) picked up according to the y (k) and microphone calculate residual signal e (k):
E (k)=d (k)-y (k)
S3, the power spectrum xPow (f) for calculating frequency domain reference signal X (f):
XPow (f)=| | X (f) | |2
S4, the power spectrum ePow (f) for calculating frequency domain residual signal E (f):
EPow (f)=| | E (f) | |2
Wherein,
S5, the conjugation residual signal E for calculating the E (f)*(f) with the related power spectrum xePow (f) of the X (f);
XePow (f)=| | X (f) E*(f)||2
S6, calculating X (f) and E*(f) coefficient correlation cohxe (f);
S7, by the median cohxe in each cohxe (f)medAs sef-adapting filter each frequency adaptive step
Factor mu (f), updates adaptive filter coefficient;
In the present embodiment,
In the present embodiment, this step can directly update adaptive according to the X (f), the E (f) and the cohxe (f)
Answer filter coefficient:
Wherein, the k be the moment, k=1,2 ... M, M be the sef-adapting filter length;The f is frequency;Wk+1
(f) it is the adaptive filter coefficient after frequency f renewal;Wk(f) it is the adaptive filter coefficient before frequency f renewal.
As a kind of preferred implementation scheme of the present embodiment, this step can also include:
S701, the frequency domain residual signal E (f) is normalized, the frequency domain residual signal after being normalized
Enor(f);
S702, according to the Enor(f) adaptive filter coefficient is updated.
Wherein, the k be the moment, k=1,2 ... M, M be the sef-adapting filter length;The f is frequency;Wk+1
(f) it is the adaptive filter coefficient after frequency f renewal;Wk(f) it is the adaptive filter coefficient before frequency f renewal.
During both-end talk situation, sef-adapting filter is to need to update, and the correlation of reference signal and residual signal
It is very strong, but include local terminal speech as the residual signal of feedback signal, certainly will if being directly fed back to adaptive filter coefficient
Filter divergence can be caused, frequency domain residual signal is normalized first for this preferred implementation scheme, recycle normalization
Rear frequency domain residual signal updates adaptive filter coefficient, the problem of solving filter divergence well.
It should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, although with reference to compared with
The present invention is described in detail good embodiment, it will be understood by those within the art that, can be to skill of the invention
Art scheme is modified or equivalent substitution, and without departing from the objective and scope of technical solution of the present invention, it all should cover at this
Among the right of invention.
Claims (3)
- Adaptive filter coefficient update method during 1. a kind of adaptive echo is eliminated, including:Sef-adapting filter estimated echo signal y (k) is passed through according to the reference signal x (k) of pronunciation unit;Residual signal e (k) is calculated according to the signal d (k) that the y (k) and microphone are picked up:E (k)=d (k)-y (k)Calculate frequency domain reference signal X (f) power spectrum xPow (f);Calculate frequency domain residual signal E (f) power spectrum ePow (f);Calculate the conjugation residual signal E of the E (f)*(f) with the related power spectrum xePow (f) of the X (f);Calculate X (f) and E*(f) coefficient correlation cohxe (f);<mrow> <mi>c</mi> <mi>o</mi> <mi>h</mi> <mi>x</mi> <mi>e</mi> <mrow> <mo>(</mo> <mi>f</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mi>x</mi> <mi>e</mi> <mi>P</mi> <mi>o</mi> <mi>w</mi> <mrow> <mo>(</mo> <mi>f</mi> <mo>)</mo> </mrow> </mrow> <mrow> <mi>x</mi> <mi>P</mi> <mi>o</mi> <mi>w</mi> <mrow> <mo>(</mo> <mi>f</mi> <mo>)</mo> </mrow> <mo>&CenterDot;</mo> <mi>e</mi> <mi>P</mi> <mi>o</mi> <mi>w</mi> <mrow> <mo>(</mo> <mi>f</mi> <mo>)</mo> </mrow> </mrow> </mfrac> </mrow>By the median cohxe in each cohxe (f)medAs sef-adapting filter each frequency the adaptive step factor, more New adaptive filter coefficient;Wherein, the k be the moment, the f be frequency, k=1,2 ... M, M be the sef-adapting filter length.
- 2. according to the method described in claim 1, it is characterised in that the estimated echo signal y (k) includes:The reference signal x (k) of loudspeaker unit is converted into frequency domain reference signal X (f);Estimate frequency domain echo signal Y (f),Fast fourier inverse transformation is carried out to the Y (f) and obtains y (k);Wherein,Operated for frequency domain convolution;W (f) is that sef-adapting filter is current in sef-adapting filter system used in frequency f Number.
- 3. method according to claim 1 or 2, it is characterised in that the renewal adaptive filter coefficient includes:The frequency domain residual signal E (f) is normalized, the frequency domain residual signal E after being normalizednor(f);According to the Enor(f) adaptive filter coefficient is updated.
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Cited By (10)
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CN108986837A (en) * | 2018-09-05 | 2018-12-11 | 科大讯飞股份有限公司 | A kind of filter update method and device |
CN109547655A (en) * | 2018-12-30 | 2019-03-29 | 广东大仓机器人科技有限公司 | A kind of method of the echo cancellation process of voice-over-net call |
CN109672970A (en) * | 2018-11-01 | 2019-04-23 | 恒玄科技(上海)有限公司 | A kind of more microphone/ear-headphone echo cancellation filter coefficient calibration methods |
CN110992923A (en) * | 2019-12-19 | 2020-04-10 | 浙江大华技术股份有限公司 | Echo cancellation method, electronic device, and storage device |
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WO2020124325A1 (en) * | 2018-12-17 | 2020-06-25 | 深圳市汇顶科技股份有限公司 | Echo elimination adaptive filtering method, apparatus, device and storage medium |
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CN111742541A (en) * | 2017-12-08 | 2020-10-02 | 华为技术有限公司 | Acoustic echo cancellation method and apparatus |
CN112017679A (en) * | 2020-08-05 | 2020-12-01 | 海尔优家智能科技(北京)有限公司 | Method, device and equipment for updating adaptive filter coefficient |
WO2020252629A1 (en) * | 2019-06-17 | 2020-12-24 | 深圳市汇顶科技股份有限公司 | Residual acoustic echo detection method, residual acoustic echo detection device, voice processing chip, and electronic device |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104883462A (en) * | 2014-02-28 | 2015-09-02 | 中国科学院声学研究所 | Adaptive filter and filtering method used for eliminating acoustics echo |
CN105323395A (en) * | 2014-07-31 | 2016-02-10 | 重庆重邮信科通信技术有限公司 | Echo eliminator and echo elimination method |
CN107123430A (en) * | 2017-04-12 | 2017-09-01 | 广州视源电子科技股份有限公司 | Echo cancel method, device, meeting flat board and computer-readable storage medium |
-
2017
- 2017-05-04 CN CN201710306285.5A patent/CN107134281A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104883462A (en) * | 2014-02-28 | 2015-09-02 | 中国科学院声学研究所 | Adaptive filter and filtering method used for eliminating acoustics echo |
CN105323395A (en) * | 2014-07-31 | 2016-02-10 | 重庆重邮信科通信技术有限公司 | Echo eliminator and echo elimination method |
CN107123430A (en) * | 2017-04-12 | 2017-09-01 | 广州视源电子科技股份有限公司 | Echo cancel method, device, meeting flat board and computer-readable storage medium |
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CN109547655A (en) * | 2018-12-30 | 2019-03-29 | 广东大仓机器人科技有限公司 | A kind of method of the echo cancellation process of voice-over-net call |
CN111294473A (en) * | 2019-01-28 | 2020-06-16 | 展讯通信(上海)有限公司 | Signal processing method and device |
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CN110992923A (en) * | 2019-12-19 | 2020-04-10 | 浙江大华技术股份有限公司 | Echo cancellation method, electronic device, and storage device |
CN110992923B (en) * | 2019-12-19 | 2022-06-07 | 浙江大华技术股份有限公司 | Echo cancellation method, electronic device, and storage device |
CN111355855A (en) * | 2020-03-12 | 2020-06-30 | 紫光展锐(重庆)科技有限公司 | Echo processing method, device, equipment and storage medium |
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