EP1830349A1 - Verfahren zur Geräuschdämpfung eines Audiosignals - Google Patents

Verfahren zur Geräuschdämpfung eines Audiosignals Download PDF

Info

Publication number
EP1830349A1
EP1830349A1 EP07290219A EP07290219A EP1830349A1 EP 1830349 A1 EP1830349 A1 EP 1830349A1 EP 07290219 A EP07290219 A EP 07290219A EP 07290219 A EP07290219 A EP 07290219A EP 1830349 A1 EP1830349 A1 EP 1830349A1
Authority
EP
European Patent Office
Prior art keywords
signal
speech
algorithm
noise
noisy
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
Application number
EP07290219A
Other languages
English (en)
French (fr)
Other versions
EP1830349B1 (de
Inventor
Guillaume Pinto
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Parrot SA
Original Assignee
Parrot SA
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Parrot SA filed Critical Parrot SA
Publication of EP1830349A1 publication Critical patent/EP1830349A1/de
Application granted granted Critical
Publication of EP1830349B1 publication Critical patent/EP1830349B1/de
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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

Definitions

  • the present invention relates to the denoising of audio signals picked up by a microphone in a noisy environment.
  • the invention is advantageously applied, but in a nonlimiting manner, to the speech signals picked up by the hands-free telephones or the like.
  • These devices include a sensitive microphone not only capturing the voice of the user, but also the surrounding noise, noise that is a disruptive element that can go, in some cases, to make incomprehensible the speaker's words.
  • the WO-A-98/45997 uses the push-button activation of a phone (for example when the driver wants to answer an incoming call) to detect the beginning of a speech signal and consider that the signal previously received to this support was essentially a noise signal. This last signal, stored, is analyzed to give a weighted average energy spectrum of the noise, then subtract from the noisy speech signal.
  • the US-A-5,742,694 describes another technique, implementing a predictive adaptive filter type mechanism.
  • This filter delivers a "reference signal” corresponding to the predictable part of the noisy signal and an "error signal” corresponding to the prediction error, then attenuates these two signals in variable proportions, and recombines them to provide a signal noised.
  • Still other techniques called beamforming or double-phoning , implement two separate microphones.
  • the first is designed and placed to primarily capture the speaker's voice, while the other is designed and placed to capture a larger noise component than the main microphone.
  • the comparison of the signals captured makes it possible to extract the voice of the ambient noise efficiently, and by relatively simple software means.
  • This technique based on a spatial coherence analysis of two signals, however, has the disadvantage of requiring two remote microphones, which generally confines it to fixed or semi-fixed installations and does not allow to integrate it into a pre-existing device by simply adding a software module. It also assumes that the speaker's position relative to the two microphones is approximately constant, which is generally the case in a car phone used by its driver. In addition, to achieve a near satisfactory denoising, the signals are subjected to a significant pre-filtering, which again has the disadvantage of introducing distortions that degrade the quality of the signal rendered denoised.
  • the invention relates to a technique for denoising audio signals picked up by a single microphone recording a voice signal in a noisy environment.
  • the application of a gain called gain LSA makes it possible to minimize the mean square distance between the logarithm of the amplitude of the estimated signal and the logarithm of the amplitude of the original speech signal.
  • This second criterion is superior to the first because the distance chosen is much better suited to the behavior of the human ear and therefore qualitatively gives better results.
  • the essential idea is to reduce the energy of the very noisy frequency components by applying a low gain while leaving intact (by the application of a gain equal to 1) those that are little or no at all.
  • the knowledge of the indices of the frames where the speech is absent makes it possible to evaluate the power of the noise as well as its evolution over time on this segment of the spectrum. It suffices to measure the energy of the raw signal when the speech is absent and to make an average continuously updated these measurements. The main question is therefore when exactly the speech of the speaker is absent from the signal picked up by the microphone.
  • the method described in this article is not intended to identify precisely on which frequency components of which frames the speech is absent, but rather to give a confidence index between 0 and 1, a value of 1 indicating that the speech is absent for sure (according to the algorithm) while a value 0 declares the opposite.
  • this index is likened to the probability of absence of speech a priori , ie the probability that speech is absent on a given frequency component of the frame considered. This is of course a non-rigorous assimilation in the sense that even if the presence of speech is probabilistic ex ante, the signal picked up by the microphone can at any moment only go through two distinct states. It can either (at the moment considered) include speech or not contain it.
  • One of the aims of the invention is to overcome the drawbacks of the methods proposed up to now, by means of an improved denoising method applicable to a speech signal considered in isolation, in particular a signal picked up by a single microphone, a method which is based on the analysis of the temporal coherence of the captured signals.
  • the starting point of the invention lies in the observation that speech generally has a temporal coherence greater than noise and that, as a result, it is clearly more predictable.
  • the invention proposes to use this property to calculate a reference signal where the speech has been more attenuated than the noise, by applying in particular a predictive algorithm which may for example be of the LMS ( Least Mean Squares, Least Mean Squares ) type. ).
  • This reference signal derived from the speech signal to be denoised may be used in a manner comparable to that of the signal of the second microphone of beam-forming techniques. two-way, for example techniques similar to those of Cohen and Berdugo [4, supra].
  • the calculation of a ratio between the respective energy levels of the original signal and the reference signal thus obtained will make it possible to discriminate between the speech components and the nonstationary noise noises, and will provide an estimate of the probability of presence of speech of independently of any statistical model.
  • the technique proposed by the invention implements an "intelligent subtraction” implying, after a linear prediction made on the passed samples of the original signal (and not of a prefiltered signal, thus degraded), a registration phase between the original signal and the predicted signal.
  • the technique of the invention turns out, in practice, sufficiently powerful to provide extremely effective denoising directly on the original signal, freeing distortions introduced by a prefiltering chain, become unnecessary.
  • the predictive algorithm is advantageously a recursive adaptive algorithm of LMS mean least squares type.
  • Step c) advantageously comprises the application of a variable gain algorithm depending on the probability of presence / absence of speech, in particular an OM-LSA optimized modified log-spectral amplitude gain type algorithm.
  • the signal that we want to denoise is a sampled digital signal x (n) , where n denotes the number of the sample ( n is the temporal variable).
  • the noisy signal x (n) is applied as input to a predictive LMS algorithm schematized by block 10, including the application of appropriate delays 12.
  • a predictive LMS algorithm schematized by block 10 including the application of appropriate delays 12.
  • the short-term Fourier transform of the captured signal x (n) (block 16) and the signal y (n) delivered by the predictive LMS algorithm (block 14) are then calculated. From these two transforms is calculated a reference signal (block 18), which is one of the input variables of an algorithm for calculating the probability of absence of speech (block 24). Meanwhile, the noisy signal transform x (n), from block 16, is also applied to the probability calculation algorithm.
  • Blocks 20 and 22 estimate the pseudo-stationary noise of the reference signal and the noisy signal transform is estimated, and the result is also applied to the probability calculation algorithm.
  • the result of the speech absence probability calculation, as well as the noisy signal transform, are inputted to an OM-LSA gain processing algorithm (block 26), the result of which is subjected to an inverse transformation of Fourier (block 28) to give an estimate of speech de-noiseed.
  • the predictive algorithm LMS (block 10) is shown diagrammatically in FIG.
  • ⁇ i ⁇ not + 1 ⁇ i not + 2 ⁇ ⁇ not ⁇ x ⁇ not - ⁇ - i + 1 ⁇ being a gain constant which makes it possible to adjust the speed and the stability of the adaptation.
  • the respective signals x (n) and y (n) (noisy speech signal and linear prediction) are split into frames of identical lengths, and their short-term Fourier transform (denoted respectively X and Y ) is calculated for each frame.
  • the algorithm predicts a 50% overlap between consecutive frames, and the samples are multiplied by the coefficients of the Hanning window so that the addition of even and odd fields corresponds to the signal of origin itself.
  • E ⁇ Ref k ⁇ l 2 E ⁇ S k ⁇ l 2 ⁇ ⁇ S k + E ⁇ D t k ⁇ l 2 ⁇ ⁇ D t k + E ⁇ D ps k ⁇ l 2 ⁇ ⁇ D ps k or ⁇ S k ⁇ ⁇ D t k ⁇ ⁇ D ps k represent the attenuation on the reference signal of the three signals in each spectrum segment.
  • S being a smoothed estimate of the instantaneous energy:
  • M being an estimator of the pseudo-stationary energy, which can be obtained for example by a method MCRA ( Minima Controlled Recursive Averaging ) of the same type as that described by Cohen and Berdugo [5, supra] (however, several alternatives exist in the literature).
  • L x and L Ref are transient detection thresholds.
  • ⁇ min (k) and ⁇ m ax (k) are the upper and lower limits for each spectrum segment. These various parameters are chosen so as to correspond to typical situations, close to reality.
  • the next step (corresponding to block 26 of FIG. 1) consists in operating the denoising itself (reinforcement of the speech component).
  • the estimator just described will be applied to the statistical model described by Ephraim and Malah [2, supra], which assumes that the noise and speech in each spectrum segment are independent Gaussian processes of respective variances ⁇ x ( k, l) and ⁇ d (k, l) .
  • This step may advantageously implement the OM-LSA gain algorithm ( Optimally Modified Log-Spectral Amplitude Gain ) described by Cohen and Berdugo [3, cited above].
  • the G min gain in the absence of speech hypothesis is a lower limit for noise reduction, in order to limit the distortion of speech.
  • the signal obtained at the end of this treatment is subjected to an inverse Fourier transform (block 28) to give the final estimate of the denoised speech.
  • the algorithm of the present invention is particularly effective in noisy environments, parasitized by both mechanical noises, vibrations, etc. as well as by musical noises, characteristic situations encountered in the interior of a car. Spectrograms show that the attenuation of the noise is not only effective, but is done without significant distortion of speech after denoising.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Soundproofing, Sound Blocking, And Sound Damping (AREA)
  • Signal Processing Not Specific To The Method Of Recording And Reproducing (AREA)
  • Noise Elimination (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
EP07290219A 2006-03-01 2007-02-21 Verfahren zur Geräuschdämpfung eines Audiosignals Active EP1830349B1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
FR0601822A FR2898209B1 (fr) 2006-03-01 2006-03-01 Procede de debruitage d'un signal audio

Publications (2)

Publication Number Publication Date
EP1830349A1 true EP1830349A1 (de) 2007-09-05
EP1830349B1 EP1830349B1 (de) 2011-11-30

Family

ID=36992693

Family Applications (1)

Application Number Title Priority Date Filing Date
EP07290219A Active EP1830349B1 (de) 2006-03-01 2007-02-21 Verfahren zur Geräuschdämpfung eines Audiosignals

Country Status (6)

Country Link
US (1) US7953596B2 (de)
EP (1) EP1830349B1 (de)
AT (1) ATE535905T1 (de)
ES (1) ES2378482T3 (de)
FR (1) FR2898209B1 (de)
WO (1) WO2007099222A1 (de)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2131357A1 (de) * 2008-06-04 2009-12-09 Parrot Automatisches Kontrollsystem der Verstärkung eines Audiosignals in Abhängigkeit vom Umgebungslärm
FR2950461A1 (fr) * 2009-09-22 2011-03-25 Parrot Procede de filtrage optimise des bruits non stationnaires captes par un dispositif audio multi-microphone, notamment un dispositif telephonique "mains libres" pour vehicule automobile
CN116644281A (zh) * 2023-07-27 2023-08-25 东营市艾硕机械设备有限公司 一种游艇船体偏移检测方法

Families Citing this family (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8949120B1 (en) 2006-05-25 2015-02-03 Audience, Inc. Adaptive noise cancelation
FR2908004B1 (fr) * 2006-10-26 2008-12-12 Parrot Sa Circuit de reduction de l'echo acoustique pour un dispositif "mains libres"utilisable avec un telephone portable
FR2908003B1 (fr) * 2006-10-26 2009-04-03 Parrot Sa Procede de reduction de l'echo acoustique residuel apres supression d'echo dans un dispositif"mains libres"
FR2908005B1 (fr) * 2006-10-26 2009-04-03 Parrot Sa Circuit de reduction de l'echo acoustique pour un dispositif "mains libres"utilisable avec un telephone portable
US8521530B1 (en) * 2008-06-30 2013-08-27 Audience, Inc. System and method for enhancing a monaural audio signal
EP2151820B1 (de) * 2008-07-21 2011-10-19 Siemens Medical Instruments Pte. Ltd. Verfahren zur Vorspannungskompensation zwecks temporärer cepstraler Glättung von Spektralfilterverstärkungen
EP2407965B1 (de) * 2009-03-31 2012-12-12 Huawei Technologies Co., Ltd. Verfahren und einrichtung zur audiosignalentrauschung
FR2945696B1 (fr) * 2009-05-14 2012-02-24 Parrot Procede de selection d'un microphone parmi deux microphones ou plus, pour un systeme de traitement de la parole tel qu'un dispositif telephonique "mains libres" operant dans un environnement bruite.
WO2010151183A1 (en) * 2009-06-23 2010-12-29 Telefonaktiebolaget L M Ericsson (Publ) Method and an arrangement for a mobile telecommunications network
FR2948484B1 (fr) 2009-07-23 2011-07-29 Parrot Procede de filtrage des bruits lateraux non-stationnaires pour un dispositif audio multi-microphone, notamment un dispositif telephonique "mains libres" pour vehicule automobile
KR101587844B1 (ko) * 2009-08-26 2016-01-22 삼성전자주식회사 마이크로폰의 신호 보상 장치 및 그 방법
US8219394B2 (en) * 2010-01-20 2012-07-10 Microsoft Corporation Adaptive ambient sound suppression and speech tracking
US8798290B1 (en) 2010-04-21 2014-08-05 Audience, Inc. Systems and methods for adaptive signal equalization
DK2395506T3 (da) * 2010-06-09 2012-09-10 Siemens Medical Instr Pte Ltd Fremgangsmåde og system til behandling af akustisk signal til undertrykkelse af interferens og støj i binaurale mikrofonkonfigurationer
US20120245927A1 (en) * 2011-03-21 2012-09-27 On Semiconductor Trading Ltd. System and method for monaural audio processing based preserving speech information
CN102740215A (zh) * 2011-03-31 2012-10-17 Jvc建伍株式会社 声音输入装置、通信装置、及声音输入装置的动作方法
FR2974655B1 (fr) 2011-04-26 2013-12-20 Parrot Combine audio micro/casque comprenant des moyens de debruitage d'un signal de parole proche, notamment pour un systeme de telephonie "mains libres".
FR2976111B1 (fr) * 2011-06-01 2013-07-05 Parrot Equipement audio comprenant des moyens de debruitage d'un signal de parole par filtrage a delai fractionnaire, notamment pour un systeme de telephonie "mains libres"
FR2976710B1 (fr) * 2011-06-20 2013-07-05 Parrot Procede de debruitage pour equipement audio multi-microphones, notamment pour un systeme de telephonie "mains libres"
US8880393B2 (en) * 2012-01-27 2014-11-04 Mitsubishi Electric Research Laboratories, Inc. Indirect model-based speech enhancement
US9258653B2 (en) * 2012-03-21 2016-02-09 Semiconductor Components Industries, Llc Method and system for parameter based adaptation of clock speeds to listening devices and audio applications
US9640194B1 (en) 2012-10-04 2017-05-02 Knowles Electronics, Llc Noise suppression for speech processing based on machine-learning mask estimation
US20140278393A1 (en) 2013-03-12 2014-09-18 Motorola Mobility Llc Apparatus and Method for Power Efficient Signal Conditioning for a Voice Recognition System
US20140270249A1 (en) * 2013-03-12 2014-09-18 Motorola Mobility Llc Method and Apparatus for Estimating Variability of Background Noise for Noise Suppression
US9536540B2 (en) 2013-07-19 2017-01-03 Knowles Electronics, Llc Speech signal separation and synthesis based on auditory scene analysis and speech modeling
US10141003B2 (en) * 2014-06-09 2018-11-27 Dolby Laboratories Licensing Corporation Noise level estimation
WO2016033364A1 (en) 2014-08-28 2016-03-03 Audience, Inc. Multi-sourced noise suppression
US10605941B2 (en) 2014-12-18 2020-03-31 Conocophillips Company Methods for simultaneous source separation
US20170018273A1 (en) * 2015-07-16 2017-01-19 GM Global Technology Operations LLC Real-time adaptation of in-vehicle speech recognition systems
WO2017058723A1 (en) 2015-09-28 2017-04-06 Conocophillips Company 3d seismic acquisition
FR3044197A1 (fr) 2015-11-19 2017-05-26 Parrot Casque audio a controle actif de bruit, controle anti-occlusion et annulation de l'attenuation passive, en fonction de la presence ou de l'absence d'une activite vocale de l'utilisateur de casque.
US10251002B2 (en) 2016-03-21 2019-04-02 Starkey Laboratories, Inc. Noise characterization and attenuation using linear predictive coding
US10564925B2 (en) 2017-02-07 2020-02-18 Avnera Corporation User voice activity detection methods, devices, assemblies, and components
US10809402B2 (en) 2017-05-16 2020-10-20 Conocophillips Company Non-uniform optimal survey design principles
US10079026B1 (en) * 2017-08-23 2018-09-18 Cirrus Logic, Inc. Spatially-controlled noise reduction for headsets with variable microphone array orientation
CN108899043A (zh) * 2018-06-15 2018-11-27 深圳市康健助力科技有限公司 数字助听器瞬时噪声抑制算法的研究及实现
US11481677B2 (en) 2018-09-30 2022-10-25 Shearwater Geoservices Software Inc. Machine learning based signal recovery
JP2020144204A (ja) * 2019-03-06 2020-09-10 パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ 信号処理装置及び信号処理方法
FR3113537B1 (fr) 2020-08-19 2022-09-02 Faurecia Clarion Electronics Europe Procédé et dispositif électronique de réduction du bruit multicanale dans un signal audio comprenant une partie vocale, produit programme d’ordinateur associé
CN112233688B (zh) * 2020-09-24 2022-03-11 北京声智科技有限公司 音频降噪方法、装置、设备及介质

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4658426A (en) * 1985-10-10 1987-04-14 Harold Antin Adaptive noise suppressor
US5742694A (en) * 1996-07-12 1998-04-21 Eatwell; Graham P. Noise reduction filter

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5251263A (en) * 1992-05-22 1993-10-05 Andrea Electronics Corporation Adaptive noise cancellation and speech enhancement system and apparatus therefor
US5924061A (en) * 1997-03-10 1999-07-13 Lucent Technologies Inc. Efficient decomposition in noise and periodic signal waveforms in waveform interpolation
US6691092B1 (en) * 1999-04-05 2004-02-10 Hughes Electronics Corporation Voicing measure as an estimate of signal periodicity for a frequency domain interpolative speech codec system
JP2005249816A (ja) * 2004-03-01 2005-09-15 Internatl Business Mach Corp <Ibm> 信号強調装置、方法及びプログラム、並びに音声認識装置、方法及びプログラム
EP1580882B1 (de) * 2004-03-19 2007-01-10 Harman Becker Automotive Systems GmbH System und Verfahren zur Verbesserung eines Audiosignals
US7813499B2 (en) * 2005-03-31 2010-10-12 Microsoft Corporation System and process for regression-based residual acoustic echo suppression

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4658426A (en) * 1985-10-10 1987-04-14 Harold Antin Adaptive noise suppressor
US5742694A (en) * 1996-07-12 1998-04-21 Eatwell; Graham P. Noise reduction filter

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
COHEN I ET AL: "Speech enhancement based on a microphone array and log-spectral amplitude estimation", ELECTRICAL AND ELECTRONICS ENGINEERS IN ISRAEL, 2002. THE 22ND CONVENTION OF DEC. 1, 2002, PISCATAWAY, NJ, USA,IEEE, 2002, pages 4 - 6, XP010631024, ISBN: 0-7803-7693-5 *
COHEN I ET AL: "Speech enhancement for non-stationary noise environments", SIGNAL PROCESSING, AMSTERDAM, NL, vol. 81, no. 11, November 2001 (2001-11-01), pages 2403 - 2418, XP004308517, ISSN: 0165-1684 *
COHEN I ET AL: "Two-channel signal detection and speech enhancement based on the transient beam-to-reference ratio", 2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING. PROCEEDINGS. (ICASSP). HONG KONG, APRIL 6 - 10, 2003, IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), NEW YORK, NY : IEEE, US, vol. VOL. 1 OF 6, 6 April 2003 (2003-04-06), pages V233 - V236, XP010639251, ISBN: 0-7803-7663-3 *
EPHRAIM Y., MALAH D.: "Speech Enhancement Using a- Minimum Mean- Square Error Short-Time Spectral Amplitude Estimator", IEEE TRANSACTIONS ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, vol. ASSP-32, no. 6, December 1984 (1984-12-01), pages 1109 - 1121, XP002435684 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2131357A1 (de) * 2008-06-04 2009-12-09 Parrot Automatisches Kontrollsystem der Verstärkung eines Audiosignals in Abhängigkeit vom Umgebungslärm
FR2950461A1 (fr) * 2009-09-22 2011-03-25 Parrot Procede de filtrage optimise des bruits non stationnaires captes par un dispositif audio multi-microphone, notamment un dispositif telephonique "mains libres" pour vehicule automobile
US8195246B2 (en) 2009-09-22 2012-06-05 Parrot Optimized method of filtering non-steady noise picked up by a multi-microphone audio device, in particular a “hands-free” telephone device for a motor vehicle
CN116644281A (zh) * 2023-07-27 2023-08-25 东营市艾硕机械设备有限公司 一种游艇船体偏移检测方法
CN116644281B (zh) * 2023-07-27 2023-10-24 东营市艾硕机械设备有限公司 一种游艇船体偏移检测方法

Also Published As

Publication number Publication date
ES2378482T3 (es) 2012-04-13
US20070276660A1 (en) 2007-11-29
ATE535905T1 (de) 2011-12-15
FR2898209A1 (fr) 2007-09-07
US7953596B2 (en) 2011-05-31
EP1830349B1 (de) 2011-11-30
FR2898209B1 (fr) 2008-12-12
WO2007099222A1 (fr) 2007-09-07

Similar Documents

Publication Publication Date Title
EP1830349B1 (de) Verfahren zur Geräuschdämpfung eines Audiosignals
EP2057835B1 (de) Verfahren zur unterdrückung akustischer restechos nach echounterdrückung bei einer freisprecheinrichtung
EP1789956B1 (de) Verfahren zum verarbeiten eines rauschbehafteten tonsignals und einrichtung zur implementierung des verfahrens
EP2293594B1 (de) Verfahren zur Filterung von seitlichem nichtstationärem Rauschen für ein Multimikrofon-Audiogerät
EP2309499B1 (de) Verfahren zur optimierten Filterung nicht stationärer Geräusche, die von einem Audiogerät mit mehreren Mikrophonen eingefangen werden, insbesondere eine Freisprechtelefonanlage für Kraftfahrzeuge
EP1356461B1 (de) Rauschverminderungsverfahren und -einrichtung
EP2538409B1 (de) Verfahren zur Geräuschdämpfung für Audio-Gerät mit mehreren Mikrofonen, insbesondere für eine telefonische Freisprechanlage
EP2772916B1 (de) Verfahren zur Geräuschdämpfung eines Audiosignals mit Hilfe eines Algorithmus mit variabler Spektralverstärkung mit dynamisch modulierbarer Härte
EP1096471A1 (de) Verfahren und Vorrichtung zur robusten Merkmalsextraktion für die Spracherkennung
EP0767569B1 (de) Verfahren und Vorrichtung zur adaptiven Identifikation und entsprechender adaptiver Echokompensator
EP0666655B1 (de) Verfahren und Einrichtung zur Analyse eines Echosignals und adaptiver Echokompensator welcher diese anwendet
EP2131357A1 (de) Automatisches Kontrollsystem der Verstärkung eines Audiosignals in Abhängigkeit vom Umgebungslärm
EP2262216A1 (de) Verfahren zur Erkennung einer Doppelsprech-Situation für Telefonfreisprechgerät
EP3192073B1 (de) Unterscheidung und dämpfung von vorechos in einem digitalen audiosignal
EP1940139B1 (de) Steuerung von Echounterdrückungsfiltern
EP1039736B1 (de) Verfahren und Vorrichtung zur adaptiven Identifikation und entsprechender adaptiver Echokompensator
EP0534837B1 (de) Sprachverarbeitungsverfahren bei Geräuschanwesenheit unter Verwendung eines nicht linearen spektralen Subtraktionsverfahrens und Hidden-Markov-Modellen
EP3627510A1 (de) Filterung eines tonsignals, das durch ein stimmerkennungssystem erfasst wurde
WO2001011605A1 (fr) Procede et dispositif de detection d&#39;activite vocale
EP2515300A1 (de) Verfahren und System für die Geräuschunterdrückung
FR2767941A1 (fr) Suppresseur d&#39;echo par transformation de sens et procede associe
FR3113537A1 (fr) Procédé et dispositif électronique de réduction du bruit multicanale dans un signal audio comprenant une partie vocale, produit programme d’ordinateur associé
Kim et al. Improved noise reduction with packet loss recovery based on post-filtering over IP networks
WO2010029247A1 (fr) Annulation de bruit a faible distorsion
FR3054338A1 (fr) Procede de correction de defauts introduits par un systeme de numerisation et dispositifs associes

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IS IT LI LT LU LV MC NL PL PT RO SE SI SK TR

AX Request for extension of the european patent

Extension state: AL BA HR MK YU

17P Request for examination filed

Effective date: 20080219

17Q First examination report despatched

Effective date: 20080331

AKX Designation fees paid

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IS IT LI LT LU LV MC NL PL PT RO SE SI SK TR

GRAP Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOSNIGR1

GRAS Grant fee paid

Free format text: ORIGINAL CODE: EPIDOSNIGR3

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

AK Designated contracting states

Kind code of ref document: B1

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IS IT LI LT LU LV MC NL PL PT RO SE SI SK TR

REG Reference to a national code

Ref country code: GB

Ref legal event code: FG4D

Free format text: NOT ENGLISH

Ref country code: CH

Ref legal event code: EP

REG Reference to a national code

Ref country code: IE

Ref legal event code: FG4D

Free format text: LANGUAGE OF EP DOCUMENT: FRENCH

REG Reference to a national code

Ref country code: DE

Ref legal event code: R081

Ref document number: 602007019049

Country of ref document: DE

Owner name: PARROT AUTOMOTIVE, FR

Free format text: FORMER OWNER: PARROT, PARIS, FR

REG Reference to a national code

Ref country code: NL

Ref legal event code: T3

REG Reference to a national code

Ref country code: DE

Ref legal event code: R096

Ref document number: 602007019049

Country of ref document: DE

Effective date: 20120301

REG Reference to a national code

Ref country code: ES

Ref legal event code: FG2A

Ref document number: 2378482

Country of ref document: ES

Kind code of ref document: T3

Effective date: 20120413

LTIE Lt: invalidation of european patent or patent extension

Effective date: 20111130

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: LT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

Ref country code: IS

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20120330

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

Ref country code: GR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20120301

Ref country code: SE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

Ref country code: LV

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

Ref country code: PT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20120330

REG Reference to a national code

Ref country code: IE

Ref legal event code: FD4D

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: CY

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

Ref country code: DK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

Ref country code: BG

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20120229

Ref country code: CZ

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

Ref country code: SK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

Ref country code: EE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

BERE Be: lapsed

Owner name: PARROT

Effective date: 20120228

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: RO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

Ref country code: PL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

REG Reference to a national code

Ref country code: AT

Ref legal event code: MK05

Ref document number: 535905

Country of ref document: AT

Kind code of ref document: T

Effective date: 20111130

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MC

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20120229

REG Reference to a national code

Ref country code: CH

Ref legal event code: PL

PLBE No opposition filed within time limit

Free format text: ORIGINAL CODE: 0009261

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: LI

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20120229

Ref country code: CH

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20120229

26N No opposition filed

Effective date: 20120831

REG Reference to a national code

Ref country code: DE

Ref legal event code: R097

Ref document number: 602007019049

Country of ref document: DE

Effective date: 20120831

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: BE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20120228

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: AT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: ES

Payment date: 20130218

Year of fee payment: 7

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: FI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: TR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20111130

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: LU

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20120221

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: HU

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20070221

REG Reference to a national code

Ref country code: FR

Ref legal event code: PLFP

Year of fee payment: 9

REG Reference to a national code

Ref country code: ES

Ref legal event code: FD2A

Effective date: 20150327

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: ES

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20140222

REG Reference to a national code

Ref country code: DE

Ref legal event code: R081

Ref document number: 602007019049

Country of ref document: DE

Owner name: PARROT AUTOMOTIVE, FR

Free format text: FORMER OWNER: PARROT, PARIS, FR

REG Reference to a national code

Ref country code: GB

Ref legal event code: 732E

Free format text: REGISTERED BETWEEN 20151029 AND 20151104

REG Reference to a national code

Ref country code: FR

Ref legal event code: TP

Owner name: PARROT AUTOMOTIVE, FR

Effective date: 20151201

REG Reference to a national code

Ref country code: FR

Ref legal event code: PLFP

Year of fee payment: 10

REG Reference to a national code

Ref country code: NL

Ref legal event code: PD

Owner name: PARROT AUTOMOTIVE; FR

Free format text: DETAILS ASSIGNMENT: VERANDERING VAN EIGENAAR(S), OVERDRACHT; FORMER OWNER NAME: PARROT

Effective date: 20151102

REG Reference to a national code

Ref country code: FR

Ref legal event code: PLFP

Year of fee payment: 11

REG Reference to a national code

Ref country code: FR

Ref legal event code: PLFP

Year of fee payment: 12

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: NL

Payment date: 20190219

Year of fee payment: 13

REG Reference to a national code

Ref country code: NL

Ref legal event code: MM

Effective date: 20200301

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: NL

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20200301

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: FR

Payment date: 20230119

Year of fee payment: 17

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: IT

Payment date: 20230120

Year of fee payment: 17

Ref country code: GB

Payment date: 20230121

Year of fee payment: 17

Ref country code: DE

Payment date: 20230119

Year of fee payment: 17