• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    ECO SUPPRESSION UNDERSTANDING MODELING OF FINAL REVERBERATION COMPONENTSAn apparatus (200) for calculating the filter coefficients (H [k, m]) for an adaptive filter (210) is revealed. The adaptive filter is used to filter a signal from the microphone (140, 430) in order to suppress an echo due to a signal from the speaker (130, 420). The apparatus 200 comprises: a means of modeling echo decay (465) to model the decay behavior of an acoustic environment (120) and to provide a corresponding echo decay parameter ((Tau); (Alpha) (m) ); and calculation means (270; 370) to calculate the filter coefficients (H [k, m]) of the adaptive filter (210) based on the echo decay parameter ((Tau); (Alpha) (m)). A corresponding method comprises: providing echo decay parameters ((Tau)? [K, m]; (Alpha) (m)) determined using an echo decay modeling medium (465); and calculate the filter coefficients (H [k, m]) of the adaptive filter (210) based on the echo decay parameters ((Tau); (Alpha) (m)).
    公开号:BR112013010065A2
    申请号:R112013010065-6
    申请日:2011-10-06
    公开日:2020-10-06
    发明作者:Fabian Kuech；Markus Schmidt；Christof Faller；Alexis Favrot
    申请人:Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.；
    IPC主号:
    专利说明:

    [1] [1] C. Breining, P. Dreiseitel, E. Hansler, A. Mader, B. Nitsch, H. Puder, T. Schertler, G. Schmidt, and J. Tilp. Acoustic echo control. IEEE Signal Processing Magazine, 16 (4): 42 - 69, July 1999.
    [2] [2] A. N. Birkett and R. A. Goubran. Limitations of handsfree acoustic echo cancellers due to nonlinear loudspeaker distortion and enclosure vibration effects. In Proc.
    [3] [3] G. Schmidt and E. Hunsler. Acoustic echo and noise control: a practical approach. Hoboken: Wiley, 2004.
    [4] [4] W. L. B. Jeannes, P. Scalart, G. Faucon, and C. Beaugeant. Combined noise and echo reduction in hands-free systems: a survey. IEEE Transactions on Speech and Audio Processing, 9 (8): 808 - 820, Nov. 2001.
    [5] [5] C. Faller and J. Chen. Suppressing acoustic echo in a sampled auditory envelope space. IEEE Trans. on Speech and Audio Proc., 13 (5): 1,048 - 1,062, Sept.
    [6] [6] C. Faller and C. Toumery. Estimating the delay and coloration effect of the acoustic echo path for low complexity echo suppression. In Proc. Intl. Works. on Acoust.
    [7] [7] W. Etter and G. S. Moschytz. Noise reduction by noise-adaptive spectral magnitude expansion. J. Audio Eng. Soc., 42: 341 - 349, May 1994.
    [8] [8] O. Capp'e. Elimination of the musical noise phenomenon with the ephrain and malah noise suppressor. IEEE Trans. Speech and Audio Processing, 2 (2): 345 - 349, April 1994.
    [9] [9] C. Faller and F. Baumgarte. Binaural Cue Coding - Part II: Schemes and applications. IEEE Trans. on Speech and Audio Proc., 11 (6): 520 - 53 1, Nov. 2003.
    [10] [10] B. R. Glasberg and B. C. J. Moore. Derivation of auditory filter shapes Rom notched-noise data. Hear. Res., 47: 103 - 138, 1990.
    [12] [12] M. Berouti, R. Schwartz, and J. Makhoul. Enhancement of speech corrupted by musical noise. In Proc. ICASSP, pages 208-211, 1979.
    REFERENCE NUMBER LIST 100 speaker llO microphone 120 acoustic environment 130 speaker signal 140 microphone signal 150 echo removal process unit 160 echo suppression signal 170 direct path 180 indirect path 200 device
    210 adaptive filter
    220 entries
    230 time / frequency converter medium
    240 echo estimate filter
    241 final echo estimate filter
    242 initial echo estimate filter
    250 separation medium
    260 another echo estimate filter
    270 means of calculation
    270, first calculation method (for initial echo removal filter
    Êl, [k, m])
    270l according to calculation method (for final echo removal filter k | [k, m])
    280 entry
    290 time / frequency converter medium
    300 frequency / time converter medium
    310 exit
    340 echo processing medium
    370 echo suppression filter
    380 combining medium / filter combiner
    420 curve (speaker signal)
    430 curve (microphone signal)
    440 support; STFT interval
    450 support; STFT interval
    460 delay between microphone signal and speaker signal
    465 echo decay modeling medium
    470 echo estimation function means
    472 initial echo filter detection medium
    475 final echo filter determination medium
    480 middle of delay
    490 means of calculating energy value
    500 means of calculating energy value
    510 means of calculating energy value
    520 other means of calculation; calculation of the echo estimation function (s)
    540 other means of aggregation
    550 maximum selector
    55 1 filter setting medium
    552 comparator
    553 selector
    560 delay element
    570 scalar factor a ,,
    580 scalar factor Bm
    590 means of normalization
    940 echo estimate filter d [k, m] delay value for delay between microphone and speaker signals x [n] speaker signal y [n] microphone signal
    E [k, m] spectrum of the echo suppression signal
    G [k, m] echo estimation filter
    H [k, m] echo suppression filter
    H, [k, m] initial echo suppression filter
    H | [k, m] final echo suppression filter
    X [k, m] spectrum of the speaker sinaj
    Xd [k, m] delayed speaker signal spectrum
    Y [k, m] microphone signal spectrum
    Í ', [k, m] spectrum of the initial echo component estimated in the microphone signal
    Y ,, Jk, m] spectrum of the final estimated echo component (reverberant)
    on the microphone signal
    Ytot [k, m] spectrum of the total echo estimated in the microphone signal.
    权利要求:
    Claims (20)
    [1]
    1. APPLIANCE (200) FOR CALCULATING THE FILTER COEFFICIENTS (H [K, M]) FOR AN ADAPTIVE FILTER (210) TO FILTER A MICROPHONE SIGNAL (140, 430) CAPTURED BY A MICROPHONE (ILO) IN ORDER TO DELETE ONE ECO DF.VIDÕ TO A SPEAKER SIGN (130, 420) PRODUCED BY A SPEAKER (100), characterized by comprising: a decay modeling series, from ecQ _ (465-) - - to model a behavior decay of an acoustic environment (120) and to provide a corresponding echo decay parameter (tn aj; and calculation means (270; 370) to calculate the filter coefficients (H [k, m]) of the adaptive fiitre ( 210) based on the echo decay parameter (u aj.
    [2]
    2. APPLIANCE (200), according to claim 1, in which the echo decay parameter is an exponential decay coefficient (r) and in which the apparatus (200) is characterized by further comprising an echo stretching medium (241) to estimate a reverberant echo component using 2D recursive calculation using the exponential decay coefficient (T).
    [3]
    Apparatus (200) according to claim 1, characterized in that it further comprises an echo processing means (340) for estimating an echo frequency spectrum (Ytot [k, Irl]) or an echo power spectrum (| Ftot [k, ln] | 2) of the echo within the microphone signal (140, 430); where the echo processing medium (340) is prepared to estimate an initial echo component (V [k, rn]) and an
    - .- - -, - - ~ - - ~ - t _ Ç &
    W "" "" final echo component (Y, ev [k, In]), by estimating the final echo component using the echo decay parameter (r; aj; and further prepared to estimate the frequency spectrum of the echo (Ytot [k, m]) or the power spectrum of the echo (| Tt0t [k, m] | 2) 5 based on the initial echo component (Y [k, rrL]) and the final echo component (Y, ev [k, m]); where the calculation medium (270; 370) is prepared to calculate the coefficients of .filter_ (H_ [k, m]) coin - - - 'base in the spectrum of echo frequency (YtQt [k, m]) or in the spectrum of 10 echo power () Yto, [k, m]! ') ·
    [4]
    4. Apparatus (200) according to claim 3, wherein the echo processing means (340) is characterized by comprising a maximum selector (550) for selecting a maximum echo estimate (| Y ,, ot [kfm ] | 2; Ytot [k, m]) among the initial echo estimate 15 (V [k, m]) and the final echo estimate (Y, ev [k, m]) as the frequency spectrum of the echo ( YtQt [k, m]) or the power spectrum of the echo (| Ytot [k, m] l2).
    [5]
    Apparatus (200) according to one of claims 3 or 4, characterized in that the echo processing means 20 is prepared to determine the final echo component (Y, eÜ [k, In)) based on a previous value of the estimated echo frequency spectrum (Ytot [k-1, m]) as a previous value of the estimated echo power spectrum (| Ytot [k-1, rrt] | 2), determined in a ariterior moment, and based on the echo decay parameter (t; aj 25 applied to the previous total echo estimate (Y, o, [k-1, rn];! Ytot [kl, m] | 2) to model a decay of the final echo estimate between the previous moment and a subsequent moment.
    - .. - 3/8. -
    [6]
    6. APPARATUS (2 "00), according to" "e qumT" quê "r" one of the "_ previous claims, characterized by further comprising: means to transform (230: 290) at least one of the microphone signal (140, 430) and the loudspeaker signal (130; 420) 5 from a time time representation to a time frequency representation in a time frequency domain: and a means to transform (300) a suppression signal echo (E [k, m], and [n]) from a 10 time frequency domain back to the time domain.
    [7]
    7. APPARATUS (200), according to any of the preceding claims, in which the echo decay modeling medium (465) is characterized by comprising an echo decay parameter estimator (520) to evaluate the signal from the echo Microphone (140, 430) was related to an observable echo decay in the microphone signal (140, 430) and to provide the resulting estimated echo decay parameter (u cxj for further processing.
    [8]
    Apparatus (200) according to claim 20 7, characterized in that the echo decay parameter estimator (520) is prepared to determine the echo decay parameter (t, a ,,) based on a term reverb provided (RT60) ·
    [9]
    9. APPLIANCE (200), according to claim 8, characterized in that the echo decay parameter parameter estimator 25 (520) is also prepared to determine the provided reverberation time (RT60) ·
    [10]
    10. APPLIANCE (200) according to any one of the preceding claims, characterized in that the means of calculation
    ..
    4/8 ·% - (270: 370) be prepared to determine the coefficients of '"" "fiitr: O (H [k, m]) based on a difference between the power spectrum (jY [k, rn] l ') of the microphone signal (140, 430) and a power spectrum of a total echo estimate (iYtot [k, m] | 2).
    5
    [11]
    11. APPLIANCE (200), according to any one of the preceding claims, characterized in that the echo decay model (465) is prepared to determine a time average of a microphone signal strength spectrum and a time average of a spectrum of the loudspeaker signal strength, still prepared to determine temporal fluctuations in the microphone signal power spectra (140, 430) and the loudspeaker signal (130; 420) "by subtracting the temporal mean of the spectra corresponding instantaneous power values (| Y [k, rn] | 2, | X [k, Trl] | 2) ,, and also prepared to use the temporal fluctuations 15 to determine the echo decay parameter Ü: aj.
    [12]
    12. Apparatus (200), according to any one of the preceding claims, it appears that the calculation means (270) is further prepared. to determine an initial echo removal filter Éí, [k, m] and a final echo removal filter ÉÍJk, m] and em.
    20 that the apparatus (200) is characterized by further comprising a filter configuration means (551) prepared to determine the filter coefficients Fi [k, rn] of the adaptive filter (210) based on a combination of the filter coefficients of the initial echo removal filter Éí, [k, m] and final echo removal filter Êl [k, In].
    25
    [13]
    13. APPARATUS (200) according to any one of claims 1 to 11, in which c) calculation medium (270) is still prepared to determine an initial echo removal filter Â, [k, m] and a removal filter final echo ÊLl [k, m], and where the
    K - 5/8 ^.
    *
    The apparatus (200) is characterized by still comprising "a half" of "" "" filter configuration (551) prepared to determine the filter coefficients H [k, m] of the adaptive filter (210) with a minimum selection among the initial echo removal filter 5 ÉÍ, [k, m] and the final echo removal filter Éíl [k, rn].
    [14]
    14. METHOD FOR CALCULATING FILTER COEFFICIENTS (H [K, M]) FOR AN ADAPTIVE FILTER (210) TO FILTER A MICROPHONE SIGNAL (140; 430) IN ORDER TO DELETE AN ECO DUE TO A SPEAKER SIGNAL ( 130; 420), characterized by 10 comprising: supply of echo decay parameters (t; G ['k, m]; Qm) Ceterminated through an echo decay modeling medium (465): calculation of the filter coefficients (H [k, m]) of the adaptive filter (210) based on the decay parameters of and CO (u cxj.
    [15]
    15. METHOD, according to claim 14, in which the echo decay parameter is an exponential decay coefficient (T) and in which the method further comprises: estimation of a reverberating echo component through a recursive calculation using c) exponential decay coefficient (t).
    [16]
    16. METHOD, according to claim 14, 25, further comprising: estimation of an initial echo component (Y [k, m]) and a final echo component (Y, eU [k, m]), at rrlenos the estimate of the final echo component using the parameter "" "mother" "" "echo decay (t; cxj; and determination of an echo frequency spectrum" (Y [k, ml) or a power spectrum echo (| Y [k, rrl]] 2) of the echo within the microphone signal (140, 430) as a combination of the initial echo component (Y [k, m]) and the final echo component (V, , Jk, m]); calculation of the filter coefficients (H [k, m]) based on the echo frequency spectrum (Ytot [k, m]) or the echo power spectrum (iY, o, [k , m] I ').
    [17]
    17. PROGRAM, characterized by comprising a program code for carrying out the method according to claim 14, when the program is characterized by being executed in a processor.
    [18]
    18. APPLIANCE (200) FOR CALCULATING FILTER COEFFICIENTS (H [K, M]) FOR AN ADAPTIVE FILTER (210) FOR FILTERING UF4 MICROPHONE SIGNAL (140, 430) CAPTURED BY A MICROEONE (110) IN ORDER TO DELETE ONE ECO DUE TO A SPEAKER SIGNAL (130, 420) PRODUCED BY A SPEAKER (100), comprising: an echo decay modeling medium (465) to model a decay behavior of an acoustic environment (120) and to provide a corresponding echo decay parameter (t; cxj; an echo processing medium (340) to estimate a CLot echo frequency spectrum [k, m]) or an echo power spectrum (| YtQt [ k, m] | 2) of the echo within the microphone signal (140, 430), the echo processing medium (340) being prepared to estimate an initial echo component (Y [k, rrl]) and an
    "" "component 'of e" co f "inar7L, y [" k, m]): "" at least the estimate of the final echo component using the echo decay parameter ("r; Qm), and still prepared to estimate the echo frequency spectrum (YtDt [k, m]) or the echo power spectrum (| Y, ot [krrrl] | 2) based on the initial echo component (Y [] ç, m]) and the final echo component (Y, ev [k, m]); and calculation means (270; 370) to calculate the filter coefficients (H [k, m]) of the adaptive filter (210) based on the parameter echo decay rate 6: aj and ran based on 10 echo frequency spectrum (Y, ot [k, m]) or echo power spectrum (! YtoL [k, m]: 2) of the echo within the signal of the microphone (140; 340), characterized in that the echo processing means (340) comprises a maximum selector (550) to select a maximum echo estimate (| Ytot [k, m] | 2; Y, Qt [krm] ) between the initial echo estimate (Y [k, m]) and the final echo estimate (Y ,,, [k, m]) as the echo frequency spectrum (YtQt [k, m]) or the power spectrum echo (| Y, o, [k, rr '] | 2).
    [19]
    19. METHOD FOR CALCULATING FILTER COEFFICIENTS (H [K, M]) FOR AN ADAPTIVE FILTER (210) TO FILTER A MICROPHONE SIGNAL (140; 430) IN ORDER TO DELETE AN ECO DUE TO A SPEAKER SIGNAL ( 130; 420), characterized by comprising: supply of echo decay parameters (u G [kfm]; aj determined using an echo decay modeling medium (465); esthetic of an echo frequency spectrum (Ytot [ krm]) or an echo power spectrum (| Ytot [k, m] | 2) of the echo
    - within the microphone signal (140, 430), estimating an initial echo component (Y [k, m]) and a final echo component (V ,, Jk, m]), at least an estimate of the echo component end using the echo decay parameter ("r; aj; 5 estimate of the echo frequency spectrum (YtQt [k, m]) or the echo power spectrum (! Ytot [k, m]) 2) based in the initial echo component (Y [k, m]) and in the final echo component (Y, ev [k, m]); urn selection - maximum echo estimate 10 (| Ytot [k, rrl] | 2; Y, o, [k, m]) among the initial echo estimate (Y [k, m]) and the final echo estimate {Y ,, v [k, m]) as the echo frequency spectrum (Ytot [k, m]) or the echo power spectrum () Ytot [k, In] l2); and calculation of the filter coefficients (H [k, m]) of the adaptive filter (210) based on the parameters of echo decay ("c; aj and based on an echo frequency spectrum (Ytot [k, m]) or an echo power spectrum (lYtot [k, rrl]) 2) of an echo within the signal of the microphone (140; 340).
    [20]
    20. PROGRAM, characterized in that it comprises a program code for carrying out the method according to claim 19, when the program is executed in a processor.
    类似技术:
    公开号 | 公开日 | 专利标题
    BR112013010065A2|2020-10-06|echo suppression comprising modeling of final reverb components
    ES2585406T3|2016-10-05|Apparatus and method for calculating filter coefficients for echo suppression
    BRPI0905760B1|2020-09-24|EQUIPMENT AND METHOD FOR COMPUTING CONTROL INFORMATION FOR AN ECHO SUPPRESSION FILTER AND EQUIPMENT AND METHOD FOR COMPUTING A DELAY VALUE
    JP2002501337A|2002-01-15|Method and apparatus for providing comfort noise in a communication system
    TW516301B|2003-01-01|Residual echo estimation for echo cancellation
    US10297262B2|2019-05-21|Comfort noise generation
    CN111213359B|2021-09-10|Echo canceller and method for echo canceller
    KR101537653B1|2015-07-17|Method and system for noise reduction based on spectral and temporal correlations
    Hänsler et al.2003|Single-channel acoustic echo cancellation
    Nathwani et al.2013|Joint noise cancellation and dereverberation using multi-channel linearly constrained minimum variance filter.
    同族专利:
    公开号 | 公开日
    ES2528043T3|2015-02-03|
    EP2444967A1|2012-04-25|
    EP2633522B1|2014-12-10|
    RU2013123696A|2014-12-10|
    EP2633522A1|2013-09-04|
    MX2013004602A|2013-12-02|
    AU2011322792B2|2015-11-12|
    AR083494A1|2013-02-27|
    HK1189312A1|2014-05-30|
    KR101573121B1|2015-12-11|
    TW201225067A|2012-06-16|
    CA2815577A1|2012-05-03|
    CN103262163B|2016-01-20|
    AU2011322792A1|2013-05-30|
    PL2633522T3|2015-05-29|
    US20130230184A1|2013-09-05|
    WO2012055687A1|2012-05-03|
    KR20130117795A|2013-10-28|
    TWI463488B|2014-12-01|
    JP2014502074A|2014-01-23|
    RU2569006C2|2015-11-20|
    JP5671147B2|2015-02-18|
    CN103262163A|2013-08-21|
    CA2815577C|2017-03-14|
    US9699552B2|2017-07-04|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    US5999828A|1997-03-19|1999-12-07|Qualcomm Incorporated|Multi-user wireless telephone having dual echo cancellers|
    DE19831320A1|1998-07-13|2000-01-27|Ericsson Telefon Ab L M|Digital adaptive filter for communications system, e.g. hands free communications in vehicles, has power estimation unit recursively smoothing increasing and decreasing input power asymmetrically|
    US6606382B2|2000-01-27|2003-08-12|Qualcomm Incorporated|System and method for implementation of an echo canceller|
    WO2002101728A1|2001-06-11|2002-12-19|Lear Automotive Spain, S.L.|Method and system for suppressing echoes and noises in environments under variable acoustic and highly fedback conditions|
    US6961422B2|2001-12-28|2005-11-01|Avaya Technology Corp.|Gain control method for acoustic echo cancellation and suppression|
    WO2005057804A1|2003-12-10|2005-06-23|Koninklijke Philips Electronics N.V.|Echo canceller having a series arrangement of adaptive filters with individual update control strategy|
    US20070165871A1|2004-01-07|2007-07-19|Koninklijke Philips Electronic, N.V.|Audio system having reverberation reducing filter|
    CN1902980B|2004-01-07|2010-11-17|皇家飞利浦电子股份有限公司|Audio system providing for filter coefficient copying|
    WO2006040734A1|2004-10-13|2006-04-20|Koninklijke Philips Electronics N.V.|Echo cancellation|
    WO2006111370A1|2005-04-19|2006-10-26|Epfl |A method and device for removing echo in a multi-channel audio signal|
    EP1715669A1|2005-04-19|2006-10-25|Ecole Polytechnique Federale De Lausanne |A method for removing echo in an audio signal|
    NO322301B1|2005-07-13|2006-09-11|Tandberg Telecom As|Small delay echo cancellation method and system.|
    JP4701962B2|2005-09-27|2011-06-15|ヤマハ株式会社|Regression sound removal device|
    CN101346896B|2005-10-26|2012-09-05|日本电气株式会社|Echo suppressing method and device|
    US8073147B2|2005-11-15|2011-12-06|Nec Corporation|Dereverberation method, apparatus, and program for dereverberation|
    CA2630635C|2005-12-05|2015-04-28|Telefonaktiebolaget Lm Ericsson |Echo detection|
    JP4774100B2|2006-03-03|2011-09-14|日本電信電話株式会社|Reverberation removal apparatus, dereverberation removal method, dereverberation removal program, and recording medium|
    US7856353B2|2007-08-07|2010-12-21|Nuance Communications, Inc.|Method for processing speech signal data with reverberation filtering|
    EP2058804B1|2007-10-31|2016-12-14|Nuance Communications, Inc.|Method for dereverberation of an acoustic signal and system thereof|
    DE102008039330A1|2008-01-31|2009-08-13|Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.|Apparatus and method for calculating filter coefficients for echo cancellation|
    EP2237271B1|2009-03-31|2021-01-20|Cerence Operating Company|Method for determining a signal component for reducing noise in an input signal|
    US8218780B2|2009-06-15|2012-07-10|Hewlett-Packard Development Company, L.P.|Methods and systems for blind dereverberation|US9055362B2|2012-12-19|2015-06-09|Duo Zhang|Methods, apparatus and systems for individualizing audio, music and speech adaptively, intelligently and interactively|
    GB2510331A|2012-12-21|2014-08-06|Microsoft Corp|Echo suppression in an audio signal|
    US8914007B2|2013-02-27|2014-12-16|Nokia Corporation|Method and apparatus for voice conferencing|
    CN104050971A|2013-03-15|2014-09-17|杜比实验室特许公司|Acoustic echo mitigating apparatus and method, audio processing apparatus, and voice communication terminal|
    CN105191266B|2013-03-19|2017-03-08|皇家飞利浦有限公司|Method and apparatus for audio processing|
    DE112013007077T5|2013-05-14|2016-02-11|Mitsubishi Electric Corporation|Echo cancellation device|
    JP6165503B2|2013-05-21|2017-07-19|シャープ株式会社|Echo suppression device and echo suppression method|
    GB2512155B|2013-09-18|2015-05-06|Imagination Tech Ltd|Acoustic echo cancellation|
    EP3062535B1|2013-10-22|2019-07-03|Industry-Academic Cooperation Foundation, Yonsei University|Method and apparatus for processing audio signal|
    KR102141037B1|2013-11-15|2020-08-04|현대모비스 주식회사|Apparatus and method for eliminating echo for a hands free system|
    EP2884491A1|2013-12-11|2015-06-17|Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.|Extraction of reverberant sound using microphone arrays|
    JP6349899B2|2014-04-14|2018-07-04|ヤマハ株式会社|Sound emission and collection device|
    CN105244036A|2014-06-27|2016-01-13|中兴通讯股份有限公司|Microphone speech enhancement method and microphone speech enhancement device|
    CN106688247A|2014-09-26|2017-05-17|Med-El电气医疗器械有限公司|Determination of room reverberation for signal enhancement|
    CN105628170A|2014-11-06|2016-06-01|广州汽车集团股份有限公司|Method for measuring and calculating reverberation time in vehicle|
    CN104464752B|2014-12-24|2018-03-16|海能达通信股份有限公司|A kind of acoustic feedback detection method and device|
    US10142484B2|2015-02-09|2018-11-27|Dolby Laboratories Licensing Corporation|Nearby talker obscuring, duplicate dialogue amelioration and automatic muting of acoustically proximate participants|
    US10504501B2|2016-02-02|2019-12-10|Dolby Laboratories Licensing Corporation|Adaptive suppression for removing nuisance audio|
    US10403300B2|2016-03-17|2019-09-03|Nuance Communications, Inc.|Spectral estimation of room acoustic parameters|
    US9704471B1|2016-03-30|2017-07-11|Bose Corporation|Adaptive modeling of secondary path in an active noise control system|
    FR3051958B1|2016-05-25|2018-05-11|Invoxia|METHOD AND DEVICE FOR ESTIMATING A DEREVERBERE SIGNAL|
    KR20170142001A|2016-06-16|2017-12-27|삼성전자주식회사|Electric device, acoustic echo cancelling method of thereof and non-transitory computer readable recording medium|
    US10043529B2|2016-06-30|2018-08-07|Hisense Usa Corp.|Audio quality improvement in multimedia systems|
    US9959888B2|2016-08-11|2018-05-01|Qualcomm Incorporated|System and method for detection of the Lombard effect|
    CN110140294A|2016-12-06|2019-08-16|哈曼国际工业有限公司|Method and apparatus for equalizing audio signal|
    US20180308503A1|2017-04-19|2018-10-25|Synaptics Incorporated|Real-time single-channel speech enhancement in noisy and time-varying environments|
    JP6833616B2|2017-05-29|2021-02-24|株式会社トランストロン|Echo suppression device, echo suppression method and echo suppression program|
    US10299039B2|2017-06-02|2019-05-21|Apple Inc.|Audio adaptation to room|
    EP3791565A4|2018-05-09|2021-12-29|Nureva Inc.|Method, apparatus, and computer-readable media utilizing residual echo estimate information to derive secondary echo reduction parameters|
    KR20200093849A|2019-01-29|2020-08-06|삼성전자주식회사|Residual echo estimator to estimate residual echo based on time correlation, non-transitory computer-readable medium storing program code to estimate residual echo, and application processor|
    CN112243182B|2019-07-17|2022-03-04|北京声智科技有限公司|Pickup circuit, method and device|
    JP2021131434A|2020-02-19|2021-09-09|ヤマハ株式会社|Sound signal processing method and sound signal processing device|
    CN111341338B|2020-05-19|2020-09-01|深圳市友杰智新科技有限公司|Method and device for eliminating echo and computer equipment|
    CN113726969A|2021-11-02|2021-11-30|阿里巴巴达摩院科技有限公司|Reverberation detection method, device and equipment|
    法律状态:
    2020-10-13| B15I| Others concerning applications: loss of priority|Free format text: PERDA DA PRIORIDADE DE 25/10/2010 US 61/406,246 REIVINDICADA POR NAO ENVIO DE DOCUMENTO COMPROBATORIO DE CESSAO DA MESMA CONFORME AS DISPOSICOES LEGAIS PREVISTAS NO ART. 16, 6O DA LEI 9.279 DE 4/05/1996 (LPI), ITEM 27 DO ATO NORMATIVO 128/1997, ART. 28 DA RESOLUCAO INPI-PR 77/2013 E ART. 3O DA IN 179/2017, UMA VEZ QUE O DEPOSITANTE CONSTANTE DA PETICAO DE REQUERIMENTO DO PEDIDO PCT E DISTINTO DAQUELE QUE DEPOSITOU A PRIORIDADE. |
    2020-10-20| B06U| Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]|
    2021-09-08| B06A| Patent application procedure suspended [chapter 6.1 patent gazette]|
    2021-11-23| B350| Update of information on the portal [chapter 15.35 patent gazette]|
    2021-12-21| B09A| Decision: intention to grant [chapter 9.1 patent gazette]|
    2022-03-08| B16A| Patent or certificate of addition of invention granted [chapter 16.1 patent gazette]|Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 06/10/2011, OBSERVADAS AS CONDICOES LEGAIS. PATENTE CONCEDIDA CONFORME ADI 5.529/DF, QUE DETERMINA A ALTERACAO DO PRAZO DE CONCESSAO. |
    优先权:
    申请号 | 申请日 | 专利标题
    US40624610P| true| 2010-10-25|2010-10-25|
    EP10194586A|EP2444967A1|2010-10-25|2010-12-10|Echo suppression comprising modeling of late reverberation components|
    EP10194586.3|2010-12-10|
    PCT/EP2011/067486|WO2012055687A1|2010-10-25|2011-10-06|Echo suppression comprising modeling of late reverberation components|
    [返回顶部]