CN101562669A - Method of adaptive full duplex full frequency band echo cancellation - Google Patents
Method of adaptive full duplex full frequency band echo cancellation Download PDFInfo
- Publication number
- CN101562669A CN101562669A CNA2009100258559A CN200910025855A CN101562669A CN 101562669 A CN101562669 A CN 101562669A CN A2009100258559 A CNA2009100258559 A CN A2009100258559A CN 200910025855 A CN200910025855 A CN 200910025855A CN 101562669 A CN101562669 A CN 101562669A
- Authority
- CN
- China
- Prior art keywords
- echo
- signal
- subband
- filter
- sub
- 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.)
- Granted
Links
Images
Abstract
A method of adaptive full duplex full frequency band echo cancellation comprises the following steps of: carrying out filtration by a sub-band filter, carrying out sub-band echo cancellation by a sub-band echo canceller, carrying out weighted energy analysis and control on system signals, carrying out analysis and detection on double talk active state, carrying out coefficient updating on an echo filter, carrying out nonlinear processing on residual echo, and carrying out synthesis on signals of sub-bands. The method further comprises the step of maintaining reference signal and echo signal to be synchronous; after the nonlinear processing is carried out, noise reduction, automatic gain control and comfort noise technique can be added. Owing to adoption of the method of echo cancellation, signals are spilt into sub-bands through filtration, thus reducing correlation among signals of sub-bands, improving convergence problem of adaptive filter, reducing data process load of the system, improving processing efficiency of echo cancellation, realizing full duplex of conversation, improving frequency response of communication audio frequency, improving quality of communication and realizing echo cancellation of full frequency band response.
Description
Technical field
The present invention relates to the method for the echo elimination of a kind of communication and network system, the method that particularly a kind of adaptive full duplex full frequency band echo is eliminated.
Background technology
Along with popularizing of audio/video conference system and hands-free phone, the demand of the virtual telepresenc of the particularly development of HD Audio communication system, and conference system, far-end speech signal comes out to make all participants to hear by loudspeaker plays.Local microphone picks up the sound that comes out from loudspeaker plays when picking up local spokesman's voice too, gives far-end after amplifying.Therefore, the far-end participant can hear that the sound of oneself sends back from the other side.This phenomenon is called as echo.Echo can be upset the acoustics in meeting-place, influences spokesman's thinking, when serious even cause feedback squealing and damage effect of meeting.Therefore, echo cancellation technology occupies an important position in conference telephone and audio/video conference system.
Traditional echo is eliminated mainly and is suppressed based on gain.Its basic principle is, according to the power of far-end and local both sides signal energy, a side strong with signal energy is voice signal, promotes its gain it is passed through, and reduce the opposing party's gain and suppress its signal, thereby reach the effect of eliminating echo.This technology control bi-directional gain, certain only make in a flash a certain folk prescription to signal by reaching the purpose that echo is eliminated, therefore be called as single worker's Echo Canceller.Its advantage is a cheap and simple, and weak point is: because unidirectional conducting, but bilateral when talking simultaneously, a side sound is cut off (Cut Off) can't pass to the other side, influences communication effect; Special in the higher occasion of ambient noise, its mechanism can't be distinguished voice and noise signal, can't reach desirable effect.Modern conference system is more and more higher to the requirement of echo cancellation technology, and traditional gain inhibition and echo suppress the requirement that the formula technology can't satisfy high-end devices and user.
Along with becoming stronger day by day and the improvement of Digital Signal Processing of digital signal processor function, the echo cancellation technology of sef-adapting filter pattern and use and obtain gradually promoting.But the sef-adapting filter pattern needs massive values computation, can only realize that usually the echo of narrow-band frequency response is eliminated, and eliminates as the echo of telephonic communication and mobile phone; As the patent No. of Nokia is 97195672.3 patent, and being primarily aimed at phone and mobile phone is object.And for the broadband frequency response (Wide Band:50Hz-7000Hz) of communication new trend, ultra broadband frequency response (Super Wide Band:50Hz-14000Hz), and the demand of full frequency band frequency response (Whole Band:20Hz-20000Hz) is difficult to maybe can't satisfy; Have only the frequency response of 200Hz-7000Hz as the XAP400 of ClearOne, the VORTEX of Polycom has only the frequency of 200Hz-10000Hz corresponding.Further, because background noise influence in the echo cancellation process, the accuracy that the difficulty of bilateral while talk detection and sef-adapting filter self adaptation are adjusted is not enough, and the effect that echo is eliminated is affected, and does not reach the enough echo eliminations or the effect of full duplex.
Summary of the invention
The technical problem to be solved in the present invention provides the method that a kind of adaptive full duplex full frequency band echo is eliminated, and can eliminate echo by full duplex full frequency band.
For solving the problems of the technologies described above the method that adaptive full duplex full frequency band echo of the present invention is eliminated, may further comprise the steps:
The local speaker output signal of reference signal is carried out filtering and obtains sub-band reference signal through Methods of Subband Filter Banks;
Microphone input signal is carried out filtering and obtains the subband microphone input signal through Methods of Subband Filter Banks;
Sub-band reference signal is obtained estimated echo via the subband acoustic echo filter filtering;
Subband microphone input signal and estimated echo are carried out subband acoustic echo cancellation through the subband acoustic echo cancellation device, obtain residue signal;
Sub-band reference signal, subband microphone input signal, estimated echo and residue signal are weighted energy and spectrum analysis, the mode of decision Nonlinear Processing;
According to the subband signal analysis result is carried out Nonlinear Processing with further reduction echo to residue signal;
With the signal of subband, with and the signal analysis result through bilateral while talk detector bilateral talk active state is carried out analyzing and testing, to determine how acoustic filter correction taken back in antithetical phrase;
Acoustic filter correction taken back in antithetical phrase as a result according to bilateral while talk detector and signal analysis;
The full frequency band audio signal of the signal that will disappear after subband signal composite filter group is reduced to the echo elimination from the echo of all subbands;
Also comprise in the described method and keep reference signal and the synchronous step of echo signal.
After described Nonlinear Processing, can add noise reduction, automatic gain control, comfort noise technology.
The method that adopts above-mentioned adaptive full duplex full frequency band echo to eliminate, signal filtering is divided into subband, reduced being correlated with between the subband signal, thereby improved the convergence problem of sef-adapting filter, reduced the data processing amount of system, improved the efficient of echo cancellation process, realize the full duplex of session, improve the communication audio frequency response, improve communication quality, realized that the echo of full frequency band response is eliminated.
Description of drawings
Fig. 1 is the structural representation of Echo Canceller;
Fig. 2 is the functional sequence schematic diagram of the method for echo elimination;
Fig. 3 is the work schematic diagram of subband acoustic echo filter.
Embodiment
Below in conjunction with accompanying drawing the present invention is done further and to explain.Echo problem is a complicated problems.The echo sound wave is except directly passing to the microphone from loud speaker, also can be from the sound wave that loud speaker sends through desktop, ground, ceiling, walls etc. reflect and the arrival microphone, and also having repeatedly reflected sound wave to exist, the echo that microphone receives is the summation of all direct sound waves and reflective sound wave.This has caused the complexity of echo, and holds the time-delay of long period, and this duration is called as hangover time (Tail Length) in echo cancellation technology.Because the acoustic reflection rate difference of various materials, the echo duration is different because of meeting room, and the hangover time of 128ms (millisecond) can satisfy the demand of most of meeting room.In addition, the transmission of sound wave and reflection are different because of frequency, and therefore, echo also is the function of a frequency.Further, the echo that microphone receives is the summation of all direct sound waves and reflective sound wave, and each sound wave mutual superposition or counteracting make echo problem become very complicated.
The method of the adaptive full duplex full frequency band Echo Canceller that the present invention relates to and specific implementation technology.The present invention is based on Digital Signal Processing (DSP-Digital Signal Processing), integrated digital signal analysis, input, digital filtering, adaptive-filtering, Nonlinear Processing, bilateral while talk detection, and the subband technology waits and realizes that full duplex full frequency band echo eliminates.Noise reduction process (NoiseReduction), automatic gain control (AGC-Automatic Gain Control) and comfort noise (Comfort Noise) etc. can embed and cooperate the present invention with further improvement system acoustics.But fall hot-tempered processing, automatic gain control and comfort noise be not within the present invention.
As shown in Figure 1, the signal of Echo Canceller is by the input signal S_fin that receives from far-end, be sent to the output signal S_fout that far-end goes, deliver to the output signal S_speaker of local loud speaker, and form from the microphone input signal S_mic that microphone receives.Remote end input signal is fed to local loud speaker when broadcasting, the Echo Canceller reference signal that this signal is eliminated as echo of sampling, this signal is the foundation of echo estimation, therefore be called as reference signal), and after Echo Canceller is handled, be sent to far-end as output signal S_fout from the microphone input signal S_mic that microphone receives.
As shown in Figure 2, this Echo Canceller is mainly by the sub-band filter of Methods of Subband Filter Banks (Sub-Band Filter Bank), the echo estimation (Sub-Band Echo Estimation) of subband acoustic echo filter, subband acoustic echo cancellation (Echo Subtraction), bilateral while talk detection (Double Talk Detection), the system signal weighted energy is analyzed and control (Weighted Energy Analysis and Control), the Nonlinear Processing of the surplus signal of subband Disabled (NLP-Nonlinear Porcessing), the correction of subband acoustic echo filter (Coefficient Update), the signal of subband signal composite filter group (Synthesize Filter Bank) is synthetic etc., and several funtion parts are formed.
The main treatment step of this Echo Canceller is:
The local speaker output signal of reference signal is carried out filtering and obtains sub-band reference signal through Methods of Subband Filter Banks.
Microphone input signal is carried out filtering and obtains the subband microphone input signal through Methods of Subband Filter Banks.
Sub-band reference signal obtains estimated echo via the subband acoustic echo filter filtering.
Subband microphone input signal and estimated echo are carried out subband acoustic echo cancellation through the subband acoustic echo cancellation device, and this signal is called as residue signal.
To sub-band reference signal, the subband microphone input signal, estimated echo, and residue signal etc. is weighted energy and spectrum analysis, the mode of decision Nonlinear Processing.
According to the subband signal analysis result residue signal is carried out Nonlinear Processing with further reduction echo.
The signal of each above-mentioned subband, with and the signal analysis result through bilateral while talk detector bilateral talk active state is carried out analyzing and testing, to determine how acoustic filter correction taken back in antithetical phrase.
Acoustic filter correction taken back in antithetical phrase as a result according to bilateral while talk detector and signal analysis.
The full frequency band audio signal of the signal that will disappear from the echo of all subbands after subband signal composite filter group is reduced to the echo elimination, this signal will be used as output signal S_fout and be sent to far-end.
Because the cause of echo hangover time, reference signal keeps the data of up-to-date 128ms.According to the difference of application, can suitably adjust echo hangover time (Tail Length).In addition, in some occasion, reference signal is just delivered to loud speaker through certain time-delay, at this situation, can add delay memory to keep the synchronous of reference signal and echo signal.
Similarly, microphone input signal obtains the subband composition of microphone input signal via same Methods of Subband Filter Banks filtering.Analysis and processing after subband signal will be used for.
The group number of the sample rate of digital signal and Methods of Subband Filter Banks can be decided according to the demand and the specification of actual treatment signal.For example, in the full range end gauage lattice of 20Hz-20000Hz,, can adopt the sample rate of 48KHz according to Nyquist-ShannonSampling Theorem.According to the difference and the requirement of actual application of sample rate, the group number of Methods of Subband Filter Banks can be selected between thousand from several to several.
Sub-filter is limited exciter response filter (FIR-Finite Impulse Responsefilter).Hamming (Hamming) filter and Kai Sa (Kaiser) filter have darker stopband attenuation and steeper transition band decay, the better selection when being designing filter.
Fig. 3 has explained the working condition of the present invention's sef-adapting filter on each subband.Sef-adapting filter mainly is made up of following three parts on each subband: 1. the reference signal echo signal that obtains estimating by the limited exciter response filter of echo.2. the echo signal that deducts estimation from the subband composition of microphone input signal is offset echo and is obtained residue signal.3. with reference signal and residue signal the parameter of echo filter is revised renewal.
Microphone input signal S_mic obtains the subband composition M_1 of microphone input signal S_mic through the filtering of sub-filter ... M_N, through the sub-band adaptive filter, obtain M ' _ 1 ... M ' _ n-signal, obtain M through nonlinear processing then " _ 1 ... M " _ N, finally synthetic full frequency band audio signal microphone input signal the S ' _ mic that is reduced to after echo is eliminated of process subband synthesis filter.Equally, the output signal S_speaker of local loud speaker obtains the subband composition S_1 of the output signal S_speaker of loud speaker through the filtering of sub-filter ... S_N is sent to the sub-band adaptive filter.Digital signal processor is also controlled transmit control signal control_2, control_1 of sub-filter, Nonlinear Processing.
Under ideal conditions, the estimated echo signal should be consistent with the echo signal of actual microphone input.Like this, after echo cancelltion was handled, residual echo should be zero.And actual conditions are really not so, because influence of environmental noise, even the estimated echo signal is consistent with the echo signal of actual microphone input, residual echo after echo cancelltion is handled is also non-vanishing, at least ambient noise still exists, and the echo filter that obtains with this residual echo correction will depart from actual echo exciter response, and local in addition speech is to the influence of echo filter parameter correction, residual echo always exists, and therefore needs Nonlinear Processing further to reduce echo.
The present invention controls nonlinear processor according to signal analysis testing result accurately, and nonlinear processor adopts by (Pass), and the mode that inhibition (Suppression) and blocking-up (Center Cut) combine is handled residual echo.Its concrete grammar is: when having only local speech, nonlinear processor passes through by residual echo; When having only the far-end speech, nonlinear processor is blocked residual echo; When talking simultaneously, nonlinear processor suppresses residual echo when bilateral.Since this nonlinear processor on each subband respectively to signal processing, when therefore can suppress echo effectively, can allow local speech pass through again, solve residual echo and sound and cut off crag-fast problem, improve the effect of Echo Canceller significantly.
Subband signal after above nonlinear processor is handled is admitted to subband synthesis filter, and subband signal is synthesized and is reduced to the full frequency band voice signal.Signal after this reduction is sent to far-end.The characteristic of subband synthesis filter and characteristic and the exciter response decision of exciter response by subband (separation) filter.Signal should be reduced to original signal through behind these two groups of filters in principle.But in actual applications, since the restriction of perfect reduction Design of Filter, the influence of echo cancellation process and Nonlinear Processing, between signal that reduction obtains and the primary signal error is often arranged, therefore, when the designing filter group, need be controlled at its influence to a certain degree to signal below.For example, its error should be less than-30 decibels.
The system signal energy spectrometer is to reference signal, microphone input signal and residual echo signal carry out spectrum analysis and weighted energy analysis to measure, to background noise, voice average energy and peak energy are estimated, relation according to signal energy and each estimation energy is assessed bilateral voice status, and this result is used to control nonlinear processor and bilateral while talk detector.For example, the voice average energy can be simplified amount of calculation with the unlimited exciter response filter of one-level (IIR-Infinite Impulse Response filter).
Bilateral while talk detector is used to detect the correcting process of the state of bilateral voice with the control echo sef-adapting filter.According to Echo Canceller model and adaptive filter algorithm (LMS), locally revise echo when noiseless and eliminate sef-adapting filter and can make it to restrain and improve the effect that echo is eliminated in far-end speech; On the contrary, revising echo when make a speech in this locality eliminates sef-adapting filter and will make it to disperse and worsen the effect that echo is eliminated.
Therefore, when make a speech in this locality, need freeze echo is eliminated the correction of sef-adapting filter.Similarly, when far-end does not have voice signal, also should freeze echo is eliminated the correction of sef-adapting filter.Except the data of using system SIGNAL ENERGY ANALYSIS, native system carries out computational analysis to the cross-correlation between reference signal and the microphone signal, thus bilateral voice status is judged the correction of eliminating sef-adapting filter with control echo.Summarize and opinion, when having only echo, the cross-correlation coefficient between reference signal and the microphone signal is bigger; Otherwise its cross-correlation coefficient is less.
The adaptive filter coefficient correction is one of most important parts in the sef-adapting filter.Difference according to the coefficient correction formula has LMS, methods such as NLMS and PNLMS.The fluctuation of LMS is bigger; NLMS is stable but convergence rate is slow than PNLMS; PNLMS is stable but amount of calculation is bigger.The present invention adopts the PNLMS method of simplification, but does not get rid of above method.The result of bilateral while talk detection is used for the control coefrficient correction.For example, when having only echo, use bigger coefficient correction to remove to revise adaptive filter coefficient; And when talking simultaneously, freeze the correction of adaptive filter coefficient when bilateral.
In addition, at the requirement of the system specification, noise reduction, automatic gain cybernetics, comfort noise etc. can be added in after the Nonlinear Processing, and integration is in system of the present invention simply.But this function is not included among the present invention.
The foregoing description does not limit the present invention in any way, and all employings are equal to the technical scheme that mode obtained of replacement or equivalent transformation, all drop in protection scope of the present invention.
Claims (3)
1, a kind of method of adaptive full duplex full frequency band echo elimination is characterized in that, may further comprise the steps:
-local speaker output signal is carried out filtering and obtains sub-band reference signal through Methods of Subband Filter Banks;
-microphone input signal is carried out filtering and obtains the subband microphone input signal through Methods of Subband Filter Banks;
Sub-band reference signal is obtained estimated echo via the subband acoustic echo filter filtering;
-subband microphone input signal and estimated echo are carried out subband acoustic echo cancellation through the subband acoustic echo cancellation device, obtain residue signal;
-sub-band reference signal, subband microphone input signal, estimated echo and residue signal are weighted energy and spectrum analysis, the mode of decision Nonlinear Processing;
-according to the result of above-mentioned signal analysis residue signal is carried out Nonlinear Processing with further reduction echo;
-with the signal of each subband, with and the signal analysis result through bilateral while talk detector bilateral talk active state is carried out analyzing and testing, to determine how acoustic filter correction taken back in antithetical phrase;
-take back acoustic filter correction according to the antithetical phrase as a result of bilateral while talk detector and signal analysis;
-the signal that will disappear from the echo of all subbands is reduced to full frequency band audio signal after echo is eliminated through subband signal composite filter group.
2, the method for adaptive full duplex full frequency band echo elimination according to claim 1 is characterized in that: also comprise in the described method keeping reference signal and the synchronous step of echo signal.
3, the method for adaptive full duplex full frequency band echo elimination according to claim 1 and 2 is characterized in that: after described Nonlinear Processing, can add noise reduction, automatic gain control, comfort noise technology.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910025855A CN101562669B (en) | 2009-03-11 | 2009-03-11 | Method of adaptive full duplex full frequency band echo cancellation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910025855A CN101562669B (en) | 2009-03-11 | 2009-03-11 | Method of adaptive full duplex full frequency band echo cancellation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101562669A true CN101562669A (en) | 2009-10-21 |
| CN101562669B CN101562669B (en) | 2012-10-03 |
Family
ID=41221274
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200910025855A Active CN101562669B (en) | 2009-03-11 | 2009-03-11 | Method of adaptive full duplex full frequency band echo cancellation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101562669B (en) |
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101958122A (en) * | 2010-09-19 | 2011-01-26 | 杭州华三通信技术有限公司 | Method and device for eliminating echo |
| CN102065190A (en) * | 2010-12-31 | 2011-05-18 | 杭州华三通信技术有限公司 | Method and device for eliminating echo |
| CN102196109A (en) * | 2010-03-01 | 2011-09-21 | 联芯科技有限公司 | Residual echo detection method and system |
| CN102739286A (en) * | 2011-04-01 | 2012-10-17 | 中国科学院声学研究所 | Echo cancellation method used in communication system |
| CN103077726A (en) * | 2012-01-09 | 2013-05-01 | 美商威睿电通公司 | Pretreatment and after-treatment for linear acoustic echo elimination system |
| CN103096024A (en) * | 2011-10-27 | 2013-05-08 | 宝利通公司 | Portable devices as videoconferencing peripherals |
| CN103457646A (en) * | 2012-05-31 | 2013-12-18 | 大陆汽车系统公司 | Method and apparatus for a frequency domain echo suppression filter |
| CN103795473A (en) * | 2012-11-02 | 2014-05-14 | 华为技术有限公司 | Method and system for eliminating power-frequency interference |
| CN104735273A (en) * | 2014-12-26 | 2015-06-24 | 深圳市微纳集成电路与系统应用研究院 | Communication system and echo cancellation method and module thereof |
| CN104835502A (en) * | 2015-05-20 | 2015-08-12 | 捷思锐科技（北京）有限公司 | Audio signal processing method, audio signal processing device and electronic equipment |
| CN106128471A (en) * | 2016-08-26 | 2016-11-16 | 西南交通大学 | A kind of contraction variable step subband acoustic echo removing method |
| CN107017004A (en) * | 2017-05-24 | 2017-08-04 | 建荣半导体（深圳）有限公司 | Noise suppressing method, audio processing chip, processing module and bluetooth equipment |
| CN107040832A (en) * | 2017-04-22 | 2017-08-11 | 广州市比丽普电子有限公司 | A kind of handheld terminal formula microphone system based on Bluetooth technology |
| CN107749303A (en) * | 2017-07-31 | 2018-03-02 | 电信科学技术研究院 | A kind of post-processing approach and device of acoustic echo canceler device output voice signal |
| CN109040498A (en) * | 2018-08-12 | 2018-12-18 | 瑞声科技（南京）有限公司 | A kind of method and its system promoting echo neutralization effect |
| WO2018227902A1 (en) * | 2017-06-15 | 2018-12-20 | 歌尔股份有限公司 | Multi-channel echo cancellation circuit and method, and smart device |
| US10264116B2 (en) | 2016-11-02 | 2019-04-16 | Nokia Technologies Oy | Virtual duplex operation |
| CN110148421A (en) * | 2019-06-10 | 2019-08-20 | 浙江大华技术股份有限公司 | A kind of residual echo detection method, terminal and device |
| CN110310653A (en) * | 2019-07-09 | 2019-10-08 | 杭州国芯科技股份有限公司 | A kind of echo cancel method |
| CN110956969A (en) * | 2019-11-28 | 2020-04-03 | 北京达佳互联信息技术有限公司 | Live broadcast audio processing method and device, electronic equipment and storage medium |
| CN111988708A (en) * | 2020-09-03 | 2020-11-24 | 昆腾微电子股份有限公司 | Single-microphone-based howling suppression method and device |
| CN112367594A (en) * | 2020-11-25 | 2021-02-12 | 厦门亿联网络技术股份有限公司 | AEC debugging method, AEC debugging device and computer readable storage medium |
| CN112653799A (en) * | 2020-12-07 | 2021-04-13 | 兰州空间技术物理研究所 | Echo cancellation method for space voice equipment of space station |
| CN116962583A (en) * | 2023-09-20 | 2023-10-27 | 腾讯科技（深圳）有限公司 | Echo control method, device, equipment, storage medium and program product |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160150315A1 (en) * | 2014-11-20 | 2016-05-26 | GM Global Technology Operations LLC | System and method for echo cancellation |
| CN106328154B (en) * | 2015-06-30 | 2019-09-17 | 芋头科技（杭州）有限公司 | A kind of front audio processing system |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2344036B (en) * | 1998-11-23 | 2004-01-21 | Mitel Corp | Single-sided subband filters |
| JP3403655B2 (en) * | 1998-11-27 | 2003-05-06 | 松下電器産業株式会社 | Method and apparatus for identifying unknown system using subband adaptive filter |
| US7065206B2 (en) * | 2003-11-20 | 2006-06-20 | Motorola, Inc. | Method and apparatus for adaptive echo and noise control |
| CN1691716A (en) * | 2004-04-23 | 2005-11-02 | 北京三星通信技术研究有限公司 | Echo eliminator |
| CN1668058B (en) * | 2005-02-21 | 2011-06-15 | 南望信息产业集团有限公司 | Recursive least square difference based subband echo canceller |
| NO20053393A (en) * | 2005-07-13 | 2006-09-11 | Tandberg Telecom As | Procedure and system for echo cancellation with little delay. |
-
2009
- 2009-03-11 CN CN200910025855A patent/CN101562669B/en active Active
Cited By (36)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102196109A (en) * | 2010-03-01 | 2011-09-21 | 联芯科技有限公司 | Residual echo detection method and system |
| CN101958122A (en) * | 2010-09-19 | 2011-01-26 | 杭州华三通信技术有限公司 | Method and device for eliminating echo |
| CN102065190A (en) * | 2010-12-31 | 2011-05-18 | 杭州华三通信技术有限公司 | Method and device for eliminating echo |
| CN102065190B (en) * | 2010-12-31 | 2013-08-28 | 杭州华三通信技术有限公司 | Method and device for eliminating echo |
| CN102739286B (en) * | 2011-04-01 | 2014-06-11 | 中国科学院声学研究所 | Echo cancellation method used in communication system |
| CN102739286A (en) * | 2011-04-01 | 2012-10-17 | 中国科学院声学研究所 | Echo cancellation method used in communication system |
| CN103096024A (en) * | 2011-10-27 | 2013-05-08 | 宝利通公司 | Portable devices as videoconferencing peripherals |
| CN103077726A (en) * | 2012-01-09 | 2013-05-01 | 美商威睿电通公司 | Pretreatment and after-treatment for linear acoustic echo elimination system |
| CN103077726B (en) * | 2012-01-09 | 2015-12-23 | 开曼群岛威睿电通股份有限公司 | For pre-service and the aftertreatment of linear acoustic echo cancelling system |
| CN103457646B (en) * | 2012-05-31 | 2018-03-30 | 大陆汽车系统公司 | Method and apparatus for frequency domain echo rejects trap |
| CN103457646A (en) * | 2012-05-31 | 2013-12-18 | 大陆汽车系统公司 | Method and apparatus for a frequency domain echo suppression filter |
| CN103795473A (en) * | 2012-11-02 | 2014-05-14 | 华为技术有限公司 | Method and system for eliminating power-frequency interference |
| CN103795473B (en) * | 2012-11-02 | 2017-04-12 | 华为技术有限公司 | Method and system for eliminating power-frequency interference |
| CN104735273A (en) * | 2014-12-26 | 2015-06-24 | 深圳市微纳集成电路与系统应用研究院 | Communication system and echo cancellation method and module thereof |
| CN104835502B (en) * | 2015-05-20 | 2018-04-10 | 北京捷思锐科技股份有限公司 | Acoustic signal processing method, device and electronic equipment |
| CN104835502A (en) * | 2015-05-20 | 2015-08-12 | 捷思锐科技（北京）有限公司 | Audio signal processing method, audio signal processing device and electronic equipment |
| CN106128471A (en) * | 2016-08-26 | 2016-11-16 | 西南交通大学 | A kind of contraction variable step subband acoustic echo removing method |
| CN106128471B (en) * | 2016-08-26 | 2019-05-17 | 西南交通大学 | A kind of contraction variable step subband acoustic echo removing method |
| US10264116B2 (en) | 2016-11-02 | 2019-04-16 | Nokia Technologies Oy | Virtual duplex operation |
| CN107040832A (en) * | 2017-04-22 | 2017-08-11 | 广州市比丽普电子有限公司 | A kind of handheld terminal formula microphone system based on Bluetooth technology |
| CN107017004A (en) * | 2017-05-24 | 2017-08-04 | 建荣半导体（深圳）有限公司 | Noise suppressing method, audio processing chip, processing module and bluetooth equipment |
| WO2018227902A1 (en) * | 2017-06-15 | 2018-12-20 | 歌尔股份有限公司 | Multi-channel echo cancellation circuit and method, and smart device |
| US10643634B2 (en) | 2017-06-15 | 2020-05-05 | Goertek Inc. | Multichannel echo cancellation circuit and method and smart device |
| CN107749303B (en) * | 2017-07-31 | 2020-03-31 | 电信科学技术研究院 | Post-processing method and device for voice signal output by acoustic echo canceller |
| CN107749303A (en) * | 2017-07-31 | 2018-03-02 | 电信科学技术研究院 | A kind of post-processing approach and device of acoustic echo canceler device output voice signal |
| CN109040498A (en) * | 2018-08-12 | 2018-12-18 | 瑞声科技（南京）有限公司 | A kind of method and its system promoting echo neutralization effect |
| CN110148421A (en) * | 2019-06-10 | 2019-08-20 | 浙江大华技术股份有限公司 | A kind of residual echo detection method, terminal and device |
| CN110310653A (en) * | 2019-07-09 | 2019-10-08 | 杭州国芯科技股份有限公司 | A kind of echo cancel method |
| CN110956969A (en) * | 2019-11-28 | 2020-04-03 | 北京达佳互联信息技术有限公司 | Live broadcast audio processing method and device, electronic equipment and storage medium |
| CN110956969B (en) * | 2019-11-28 | 2022-06-10 | 北京达佳互联信息技术有限公司 | Live broadcast audio processing method and device, electronic equipment and storage medium |
| CN111988708A (en) * | 2020-09-03 | 2020-11-24 | 昆腾微电子股份有限公司 | Single-microphone-based howling suppression method and device |
| CN112367594A (en) * | 2020-11-25 | 2021-02-12 | 厦门亿联网络技术股份有限公司 | AEC debugging method, AEC debugging device and computer readable storage medium |
| CN112367594B (en) * | 2020-11-25 | 2022-03-11 | 厦门亿联网络技术股份有限公司 | AEC debugging method, AEC debugging device and computer readable storage medium |
| CN112653799A (en) * | 2020-12-07 | 2021-04-13 | 兰州空间技术物理研究所 | Echo cancellation method for space voice equipment of space station |
| CN116962583A (en) * | 2023-09-20 | 2023-10-27 | 腾讯科技（深圳）有限公司 | Echo control method, device, equipment, storage medium and program product |
| CN116962583B (en) * | 2023-09-20 | 2023-12-08 | 腾讯科技（深圳）有限公司 | Echo control method, device, equipment, storage medium and program product |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101562669B (en) | 2012-10-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101562669B (en) | Method of adaptive full duplex full frequency band echo cancellation | |
| US7822194B2 (en) | Method and system for low delay echo cancelling | |
| CN100521710C (en) | Echo canceller with reduced requirement for processing power | |
| KR101655003B1 (en) | Pre-shaping series filter for active noise cancellation adaptive filter | |
| US6961422B2 (en) | Gain control method for acoustic echo cancellation and suppression | |
| US8311234B2 (en) | Echo canceller and communication audio processing apparatus | |
| CN101878637B (en) | A method and arrangement for echo cancellation of voice signals | |
| US8934620B2 (en) | Acoustic echo cancellation for high noise and excessive double talk | |
| US9947337B1 (en) | Echo cancellation system and method with reduced residual echo | |
| JP5061853B2 (en) | Echo canceller and echo cancel program | |
| US9699554B1 (en) | Adaptive signal equalization | |
| US10455326B2 (en) | Audio feedback reduction utilizing adaptive filters and nonlinear processing | |
| KR20040019362A (en) | Sound reinforcement system having an multi microphone echo suppressor as post processor | |
| CA2545551C (en) | Anti-howling structure | |
| US20150010180A1 (en) | Hearing assistance devices with echo cancellation | |
| JP2007515911A (en) | System and method for enhancing stereo sound | |
| Martin et al. | Coupled adaptive filters for acoustic echo control and noise reduction | |
| JP2009017029A (en) | Device and method for processing sound signal | |
| JP4396449B2 (en) | Reverberation removal method and apparatus | |
| JP3403655B2 (en) | Method and apparatus for identifying unknown system using subband adaptive filter | |
| CN113409806B (en) | Zero-attraction echo cancellation method based on arctangent function | |
| Gunale et al. | Frequency domain adaptive filter using FFT algorithm for acoustic echo cancellation | |
| Vaseghi et al. | Echo Cancellation | |
| Akinwole Bukola et al. | Performance of Adaptive Filters for Real-Time Acoustic Echo Cancellation in Non-Stationary Environment | |
| Nwe et al. | Acoustic Echo Cancellation Using Adaptive Least Mean Square Algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| ASS | Succession or assignment of patent right |
Owner name: SHANGHAI LONGOO ELECTRONICS TECHNOLOGY CO., LTD. Free format text: FORMER OWNER: QU GUOLIANG Effective date: 20110516 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 210003 ROOM 402, UNIT 3, BUILDING 6, NO. 1, XIAOMENKOU, GULOU DISTRICT, NANJING CITY, JIANGSU PROVINCE TO: 200030 NO. 550, HONGQIAO ROAD, SHANGHAI |
|
| TA01 | Transfer of patent application right |
Effective date of registration: 20110516 Address after: 200030 No. 550, Hongqiao Road, Shanghai Applicant after: Qu Guoliang Address before: 402, room three, unit 6, No. 210003, school entrance, Gulou District, Jiangsu, Nanjing Applicant before: Qu Guoliang |
|
| C53 | Correction of patent for invention or patent application | ||
| CB03 | Change of inventor or designer information |
Inventor after: Yang Jun Inventor before: Qu Guoliang |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: INVENTOR; FROM: QU GUOLIANG TO: YANG JUN |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: NANJING LANGYI RUIKE ELECTRONIC TECHNOLOGY CO., LT Free format text: FORMER OWNER: SHANGHAI LONGOO ELECTRONICS TECHNOLOGY CO., LTD. Effective date: 20150310 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 200030 XUHUI, SHANGHAI TO: 210037 NANJING, JIANGSU PROVINCE |
|
| TR01 | Transfer of patent right |
Effective date of registration: 20150310 Address after: Longpan road Xuanwu District of Nanjing city of Jiangsu Province, No. 167 210037 Patentee after: Nanjing Lang Yirui Department of Electronic Science and Technology Co Ltd Address before: 200030 No. 550, Hongqiao Road, Shanghai Patentee before: Qu Guoliang |