EP1251493A2 - Procédé pour la réduction du bruit avec fréquence parasite auto-adaptative - Google Patents
Procédé pour la réduction du bruit avec fréquence parasite auto-adaptative Download PDFInfo
- Publication number
- EP1251493A2 EP1251493A2 EP02008011A EP02008011A EP1251493A2 EP 1251493 A2 EP1251493 A2 EP 1251493A2 EP 02008011 A EP02008011 A EP 02008011A EP 02008011 A EP02008011 A EP 02008011A EP 1251493 A2 EP1251493 A2 EP 1251493A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- signal
- useful signal
- spectral subtraction
- channel
- signals
- 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.)
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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
-
- 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
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
- G10L2021/02161—Number of inputs available containing the signal or the noise to be suppressed
- G10L2021/02165—Two microphones, one receiving mainly the noise signal and the other one mainly the speech signal
Definitions
- the invention relates to a method for noise reduction according to the preamble of patent claim 1.
- a frequently used method for reducing the noise of a disturbed useful signal for example a speech signal, music signal, etc.
- spectral subtraction is the low complexity and that the disturbed useful signal is only required in one variant (only 1 channel).
- Disadvantages are the signal delay (due to the block processing in the spectral range), the limited maximum achievable noise reduction and the difficulty in compensating for unsteady noise.
- Stationary noise can be reduced by 12dB, for example, while the voice quality is still good.
- Microphone arrays used. Of The various microphone arrays are such for many practical applications particularly interesting, those with small geometric dimensions for the microphone arrangement get along. There are small differential microphone arrays (also superdirective Called arrays) and an adaptive variant of this microphone arrangement, the LMS (least mean square) algorithm is used for adaptation.
- LMS least mean square
- two microphones are delay compensated for two Types subtracted in such a way that a virtual microphone with a cardioid polar pattern to the speaker and a 'virtual' microphone with cardioid characteristics from Speakers turned away.
- the runtime compensation corresponds to the time the Sound required for the distance between the two microphones, e.g. 1.5cm. It results a "back-to-back" cardioid polar pattern. That to the speaker
- Directional microphone is the primary signal for the adaptive filter and the opposite directional microphone is the reference signal of the interference.
- Figure 1 shows an adaptive arrangement for a beamformer.
- the runtime compensation with an all-pass ALL is realized by shifting by whole sample values.
- the combination of two individual microphones with omnidirectional characteristics described above results in a cardioid polar pattern to the speaker and an opposing cardioid polar pattern as an interference reference.
- the adaptive filter H 1 is adapted in the time domain using the LMS (least mean square) algorithm.
- a low-pass filter TP at the system output raises low frequency components that are attenuated when the cardioid polar pattern is formed.
- the arrangement of the microphones M one behind the other according to FIG. 1 is referred to as an "end fire array", in contrast the arrangement of the microphones next to one another is referred to as a "broad side array”.
- Figure 2 shows an arrangement for a "broad side array" with two microphones at a distance, with the help of spectral subtraction (SPS) the two microphone signals be preprocessed.
- SPS spectral subtraction
- a runtime compensation with the all-pass all between the two channels is executed and serves to compensate for movements of the speaker.
- the sum of the two preprocessed microphone signals forms the primary input and the difference the reference input for an adaptive filter H 1.
- the adaptive filter in this arrangement with sum and difference input is also generalized sidelobe canceller '.
- the adaptation is carried out with the LMS algorithm, whereby the LMS is implemented in the frequency domain.
- a postprocessing of the Microphone signals are modified with a cross correlation function in the frequency domain carried out.
- the basic structure with spectral preprocessing using SPS, beam formation and post-processing (post) is in the patent EP 0615226B1 described, wherein an exact specification of the beam former has not been made.
- Figure 3 shows an overview of circuit arrangements of microphones for formation of the directional characteristics for two microphones.
- the two individual microphones themselves can already have a kidney-shaped characteristic or the so-called spherical characteristic.
- ALL denotes an all-pass for the runtime compensation.
- 'Gain' is a Gain compensation between the two channels which is required in practice to equalize the sensitivity of the microphone capsules.
- the direction of response in the polar diagrams of the directional characteristics is 90 °.
- the first 3 arrangements a, b and c are suitable as voice channels, since there is a maximum at 90 ° and there is attenuation for the other directions.
- Arrangement a and b lead to the same directional characteristic.
- the arrangements a, b are referred to as a sum or difference array and arrangement c as a differential array.
- the arrangements d and e have a zero at 90 ° in the polar diagram and are therefore suitable as an interference reference.
- the zero at 90 ° in the polar diagram is necessary so that no speech components get into the reference channel. Speech components in the reference channel partially compensate for the speech.
- a zero in the direction of the speaker is set for the interference reference. However, this will not be the case in practical applications. The result is that speech components are treated like interference signals and are thus removed from the actual speech signal.
- Beamformers are usually only adapted during the pauses in speech, so that no adaptation takes place To enable language components. Nevertheless, even in this case, in the reference existing speech components are compensated because they are always superimposed on the noise.
- the present invention is therefore based on the object of a method for noise reduction specify with which a crosstalk of the useful signal in the interference reference signal is minimized.
- the invention has the advantage that significantly fewer useful signal components, e.g. speech components are present in the interference reference signal than with previous methods.
- the elimination the disruptive parts of the language is therefore under real conditions with reflections of the Speech signal in real rooms such as possible in the motor vehicle.
- the invention is based on the fact that one-sided formation of the interference reference signal spectral subtraction is performed. It is essential that the spectral subtraction to form a reference signal only takes place on one channel, which with 'one-sided' referred to as. One channel thus contains useful and interference signals, the second channel after spectral subtraction only contains useful signals. Subsequent subtraction The useful part of the two channels is subtracted and the interference remains. This difference is the interference reference signal.
- E.g. Microphones are used to record voice signals, so the Voice signals processed in such a way that the interference reference signal is a zero to the speaker in the form of a kidney-shaped or an eight-shaped characteristic.
- the one-sided spectral subtraction leads to a self-controlling regulation of the Characteristic in such a way that the zero point only arises during speech activity. During breaks in speech The one-sided spectral subtraction means that nothing or only a little Signal is subtracted and thus approximately the characteristics of the individual microphone (e.g. kidney or ball) is available for the disorder.
- the ideal zero for the speech signal in the reference is only with an ideal spectral subtraction achieved in the acoustic free field.
- An ideal spectral subtraction gives the undisturbed speech signal as an output signal and would then continue each Make editing unnecessary.
- the spectral subtraction in practice gives only one good approximation of the speech signal with noise residues in the speech pauses. Since the one-sided spectral subtraction is used in addition to the microphone zero, the language components of the reference decrease significantly.
- the residual noise of the spectral subtraction in speech pauses is set with a parameter, the 'spectral floor'.
- the spectral floor b is the minimum value of a filter coefficient W of the spectral subtraction at each frequency index i.
- FIG. 4 shows 3 block diagrams with one-sided spectral subtraction for the reference input.
- the primary useful signal P of the beam polymer eg voice signal
- FIG. 4a the primary useful signal P of the beam polymer (eg voice signal) is connected as a differential array DA for channels 1, 2 (arrangement c in FIG. 3).
- Figure 4b, 4c shows a circuit of the primary signal P as a sum and difference array SD (arrangement a and b in Figure 3).
- the interference reference input processes the reference signal R with the additional expansion of the one-sided spectral subtraction in differential form according to the arrangement d and e in FIG. 3.
- the difference between the useful signal in channel 2 and the suppressed useful signal from channel 1 is passed to the adaptive filter H 1.
- the adaptive filter H1 is adapted in the time domain or in an equivalent form in the frequency domain using the LMS algorithm.
- the filtered interference reference signal R is then subtracted from the primary useful signal P.
- a further embodiment of the invention according to FIG. 5 consists in that the one-sided spectral subtraction, PLC 1 ', is carried out once on channel 1 for the useful signal in order to form a first reference signal R1 together with the useful signal in channel 2.
- the one-sided spectral subtraction, SPS 2 ' is carried out a second time on the useful signal of channel 2 in order to form a second reference signal R2 together with the useful signal in channel 1.
- the result is a system with 2 reference signals that are subtracted from the primary signal P.
- the disturbance is recorded with the characteristics of the individual microphones during the speech pauses, and a zero point for the speech signal is generated during speech activity.
- FIG. 4 shows the modification with two reference inputs for an 'end fire' microphone arrangement or a 'broad side' arrangement.
- Figure 5 shows the block diagram for the 'end fire' arrangement.
- the beamformer consists of channel 1 for the speech signal and two reference channels 2, 3.
- Each reference input is filtered by an adaptive filter 'H 1 ' or 'H 2 '.
- the filter adjustment is carried out using a multi-channel LMS algorithm.
- a combination of 2 inputs in the described manner is used to perform a one-sided spectral subtraction in order to obtain a reference signal. If, for example, a 'broad side array' with 3 microphones is assumed, 6 combinations result for the pair formation. If one takes into account that for each pair the one-sided spectral subtraction is carried out either on one or the other channel, the number of combinations and thus the number of reference channels is doubled. In the case of an array of several microphones, a limited number from the possible combinations is used.
- the invention is not restricted to the recording of the useful signals by microphones, but rather reception systems such as antennas can be used.
- Useful signals can be any type of acoustic and electrical signals.
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- 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)
- Circuit For Audible Band Transducer (AREA)
- Noise Elimination (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE10118653 | 2001-04-14 | ||
| DE10118653A DE10118653C2 (de) | 2001-04-14 | 2001-04-14 | Verfahren zur Geräuschreduktion |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| EP1251493A2 true EP1251493A2 (fr) | 2002-10-23 |
| EP1251493A3 EP1251493A3 (fr) | 2003-11-19 |
| EP1251493B1 EP1251493B1 (fr) | 2006-08-16 |
Family
ID=7681629
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP02008011A Expired - Lifetime EP1251493B1 (fr) | 2001-04-14 | 2002-04-10 | Procédé pour la réduction du bruit avec fréquence parasite auto-adaptative |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US7020291B2 (fr) |
| EP (1) | EP1251493B1 (fr) |
| JP (1) | JP4588966B2 (fr) |
| AT (1) | ATE336782T1 (fr) |
| DE (2) | DE10118653C2 (fr) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006027707A1 (fr) * | 2004-09-07 | 2006-03-16 | Koninklijke Philips Electronics N.V. | Dispositif de telephonie presentant une suppression de bruit perfectionnee |
| WO2009132646A1 (fr) * | 2008-05-02 | 2009-11-05 | Gn Netcom A/S | Procédé de combinaison d’au moins deux signaux audio et système de microphones comportant au moins deux microphones |
Families Citing this family (63)
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| US6910011B1 (en) * | 1999-08-16 | 2005-06-21 | Haman Becker Automotive Systems - Wavemakers, Inc. | Noisy acoustic signal enhancement |
| US7117149B1 (en) | 1999-08-30 | 2006-10-03 | Harman Becker Automotive Systems-Wavemakers, Inc. | Sound source classification |
| US8019091B2 (en) | 2000-07-19 | 2011-09-13 | Aliphcom, Inc. | Voice activity detector (VAD) -based multiple-microphone acoustic noise suppression |
| US8280072B2 (en) | 2003-03-27 | 2012-10-02 | Aliphcom, Inc. | Microphone array with rear venting |
| US7577262B2 (en) * | 2002-11-18 | 2009-08-18 | Panasonic Corporation | Microphone device and audio player |
| US9066186B2 (en) | 2003-01-30 | 2015-06-23 | Aliphcom | Light-based detection for acoustic applications |
| US8073689B2 (en) | 2003-02-21 | 2011-12-06 | Qnx Software Systems Co. | Repetitive transient noise removal |
| US7949522B2 (en) | 2003-02-21 | 2011-05-24 | Qnx Software Systems Co. | System for suppressing rain noise |
| US8271279B2 (en) | 2003-02-21 | 2012-09-18 | Qnx Software Systems Limited | Signature noise removal |
| US8326621B2 (en) | 2003-02-21 | 2012-12-04 | Qnx Software Systems Limited | Repetitive transient noise removal |
| US7725315B2 (en) | 2003-02-21 | 2010-05-25 | Qnx Software Systems (Wavemakers), Inc. | Minimization of transient noises in a voice signal |
| US7885420B2 (en) | 2003-02-21 | 2011-02-08 | Qnx Software Systems Co. | Wind noise suppression system |
| US7895036B2 (en) * | 2003-02-21 | 2011-02-22 | Qnx Software Systems Co. | System for suppressing wind noise |
| US9099094B2 (en) | 2003-03-27 | 2015-08-04 | Aliphcom | Microphone array with rear venting |
| US20070064959A1 (en) * | 2003-11-12 | 2007-03-22 | Arthur Boothroyd | Microphone system |
| KR100640865B1 (ko) * | 2004-09-07 | 2006-11-02 | 엘지전자 주식회사 | 음성 품질 향상 방법 및 장치 |
| US7680652B2 (en) * | 2004-10-26 | 2010-03-16 | Qnx Software Systems (Wavemakers), Inc. | Periodic signal enhancement system |
| US7716046B2 (en) * | 2004-10-26 | 2010-05-11 | Qnx Software Systems (Wavemakers), Inc. | Advanced periodic signal enhancement |
| US8543390B2 (en) * | 2004-10-26 | 2013-09-24 | Qnx Software Systems Limited | Multi-channel periodic signal enhancement system |
| US7610196B2 (en) * | 2004-10-26 | 2009-10-27 | Qnx Software Systems (Wavemakers), Inc. | Periodic signal enhancement system |
| US7949520B2 (en) * | 2004-10-26 | 2011-05-24 | QNX Software Sytems Co. | Adaptive filter pitch extraction |
| US8170879B2 (en) * | 2004-10-26 | 2012-05-01 | Qnx Software Systems Limited | Periodic signal enhancement system |
| US8306821B2 (en) | 2004-10-26 | 2012-11-06 | Qnx Software Systems Limited | Sub-band periodic signal enhancement system |
| US8284947B2 (en) * | 2004-12-01 | 2012-10-09 | Qnx Software Systems Limited | Reverberation estimation and suppression system |
| US8027833B2 (en) | 2005-05-09 | 2011-09-27 | Qnx Software Systems Co. | System for suppressing passing tire hiss |
| US8520861B2 (en) * | 2005-05-17 | 2013-08-27 | Qnx Software Systems Limited | Signal processing system for tonal noise robustness |
| US8311819B2 (en) * | 2005-06-15 | 2012-11-13 | Qnx Software Systems Limited | System for detecting speech with background voice estimates and noise estimates |
| US8170875B2 (en) | 2005-06-15 | 2012-05-01 | Qnx Software Systems Limited | Speech end-pointer |
| CN1809105B (zh) * | 2006-01-13 | 2010-05-12 | 北京中星微电子有限公司 | 适用于小型移动通信设备的双麦克语音增强方法及系统 |
| US8180067B2 (en) * | 2006-04-28 | 2012-05-15 | Harman International Industries, Incorporated | System for selectively extracting components of an audio input signal |
| US7844453B2 (en) | 2006-05-12 | 2010-11-30 | Qnx Software Systems Co. | Robust noise estimation |
| US8949120B1 (en) | 2006-05-25 | 2015-02-03 | Audience, Inc. | Adaptive noise cancelation |
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| US8326620B2 (en) | 2008-04-30 | 2012-12-04 | Qnx Software Systems Limited | Robust downlink speech and noise detector |
| US8335685B2 (en) | 2006-12-22 | 2012-12-18 | Qnx Software Systems Limited | Ambient noise compensation system robust to high excitation noise |
| US20080231557A1 (en) * | 2007-03-20 | 2008-09-25 | Leadis Technology, Inc. | Emission control in aged active matrix oled display using voltage ratio or current ratio |
| US8503692B2 (en) * | 2007-06-13 | 2013-08-06 | Aliphcom | Forming virtual microphone arrays using dual omnidirectional microphone array (DOMA) |
| US8850154B2 (en) | 2007-09-11 | 2014-09-30 | 2236008 Ontario Inc. | Processing system having memory partitioning |
| US8904400B2 (en) * | 2007-09-11 | 2014-12-02 | 2236008 Ontario Inc. | Processing system having a partitioning component for resource partitioning |
| US8694310B2 (en) | 2007-09-17 | 2014-04-08 | Qnx Software Systems Limited | Remote control server protocol system |
| JP5404412B2 (ja) * | 2007-11-01 | 2014-01-29 | パナソニック株式会社 | 符号化装置、復号装置およびこれらの方法 |
| US8209514B2 (en) * | 2008-02-04 | 2012-06-26 | Qnx Software Systems Limited | Media processing system having resource partitioning |
| US8135140B2 (en) | 2008-11-20 | 2012-03-13 | Harman International Industries, Incorporated | System for active noise control with audio signal compensation |
| US9020158B2 (en) | 2008-11-20 | 2015-04-28 | Harman International Industries, Incorporated | Quiet zone control system |
| US8300561B2 (en) * | 2008-12-30 | 2012-10-30 | Texas Instruments Incorporated | Methods and apparatus for canceling distortion in full-duplex transceivers |
| US8718289B2 (en) | 2009-01-12 | 2014-05-06 | Harman International Industries, Incorporated | System for active noise control with parallel adaptive filter configuration |
| US8189799B2 (en) | 2009-04-09 | 2012-05-29 | Harman International Industries, Incorporated | System for active noise control based on audio system output |
| US8199924B2 (en) | 2009-04-17 | 2012-06-12 | Harman International Industries, Incorporated | System for active noise control with an infinite impulse response filter |
| US8077873B2 (en) | 2009-05-14 | 2011-12-13 | Harman International Industries, Incorporated | System for active noise control with adaptive speaker selection |
| 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 |
| CA2774415C (fr) * | 2009-10-05 | 2017-09-05 | Harman International Industries, Incorporated | Systeme pour l'extraction spatiale de signaux audio |
| US9558755B1 (en) | 2010-05-20 | 2017-01-31 | Knowles Electronics, Llc | Noise suppression assisted automatic speech recognition |
| EP2509337B1 (fr) * | 2011-04-06 | 2014-09-24 | Sony Ericsson Mobile Communications AB | Procédé d'annulation de bruit contrôlé par un vecteur d'accéléromètre |
| 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" |
| US9173025B2 (en) | 2012-02-08 | 2015-10-27 | Dolby Laboratories Licensing Corporation | Combined suppression of noise, echo, and out-of-location signals |
| US8712076B2 (en) | 2012-02-08 | 2014-04-29 | Dolby Laboratories Licensing Corporation | Post-processing including median filtering of noise suppression gains |
| CN102820036B (zh) * | 2012-09-07 | 2014-04-16 | 歌尔声学股份有限公司 | 一种自适应消除噪声的方法和装置 |
| US9640194B1 (en) | 2012-10-04 | 2017-05-02 | Knowles Electronics, Llc | Noise suppression for speech processing based on machine-learning mask estimation |
| US9536540B2 (en) | 2013-07-19 | 2017-01-03 | Knowles Electronics, Llc | Speech signal separation and synthesis based on auditory scene analysis and speech modeling |
| DE112015003945T5 (de) | 2014-08-28 | 2017-05-11 | Knowles Electronics, Llc | Mehrquellen-Rauschunterdrückung |
| US10204637B2 (en) * | 2016-05-21 | 2019-02-12 | Stephen P Forte | Noise reduction methodology for wearable devices employing multitude of sensors |
| JP7007861B2 (ja) * | 2017-10-31 | 2022-01-25 | ローム株式会社 | オーディオ回路およびそれを用いた電子機器 |
| WO2020014931A1 (fr) * | 2018-07-19 | 2020-01-23 | 深圳市汇顶科技股份有限公司 | Procédé, dispositif et appareil d'amélioration vocale, et support de stockage |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE4307688A1 (de) * | 1993-03-11 | 1994-09-15 | Daimler Benz Ag | Verfahren zur Geräuschreduktion für gestörte Sprachkanäle |
| DE4243831A1 (de) * | 1992-12-23 | 1994-06-30 | Daimler Benz Ag | Verfahren zur Laufzeitschätzung an gestörten Sprachkanälen |
| US5574824A (en) * | 1994-04-11 | 1996-11-12 | The United States Of America As Represented By The Secretary Of The Air Force | Analysis/synthesis-based microphone array speech enhancer with variable signal distortion |
| JP2758846B2 (ja) * | 1995-02-27 | 1998-05-28 | 埼玉日本電気株式会社 | ノイズキャンセラ装置 |
| US6717991B1 (en) * | 1998-05-27 | 2004-04-06 | Telefonaktiebolaget Lm Ericsson (Publ) | System and method for dual microphone signal noise reduction using spectral subtraction |
| JP4163294B2 (ja) * | 1998-07-31 | 2008-10-08 | 株式会社東芝 | 雑音抑圧処理装置および雑音抑圧処理方法 |
-
2001
- 2001-04-14 DE DE10118653A patent/DE10118653C2/de not_active Expired - Fee Related
-
2002
- 2002-04-10 DE DE50207832T patent/DE50207832D1/de not_active Expired - Lifetime
- 2002-04-10 AT AT02008011T patent/ATE336782T1/de not_active IP Right Cessation
- 2002-04-10 EP EP02008011A patent/EP1251493B1/fr not_active Expired - Lifetime
- 2002-04-11 JP JP2002108951A patent/JP4588966B2/ja not_active Expired - Fee Related
- 2002-04-12 US US10/121,180 patent/US7020291B2/en not_active Expired - Lifetime
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006027707A1 (fr) * | 2004-09-07 | 2006-03-16 | Koninklijke Philips Electronics N.V. | Dispositif de telephonie presentant une suppression de bruit perfectionnee |
| WO2009132646A1 (fr) * | 2008-05-02 | 2009-11-05 | Gn Netcom A/S | Procédé de combinaison d’au moins deux signaux audio et système de microphones comportant au moins deux microphones |
| US8693703B2 (en) | 2008-05-02 | 2014-04-08 | Gn Netcom A/S | Method of combining at least two audio signals and a microphone system comprising at least two microphones |
Also Published As
| Publication number | Publication date |
|---|---|
| EP1251493B1 (fr) | 2006-08-16 |
| US7020291B2 (en) | 2006-03-28 |
| DE10118653A1 (de) | 2002-10-24 |
| JP4588966B2 (ja) | 2010-12-01 |
| JP2002374589A (ja) | 2002-12-26 |
| ATE336782T1 (de) | 2006-09-15 |
| EP1251493A3 (fr) | 2003-11-19 |
| DE50207832D1 (de) | 2006-09-28 |
| US20020176589A1 (en) | 2002-11-28 |
| DE10118653C2 (de) | 2003-03-27 |
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