EP0615226A2 - Procédé de réduction de bruit pour canaux de parole pertubés - Google Patents

Procédé de réduction de bruit pour canaux de parole pertubés Download PDF

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Publication number
EP0615226A2
EP0615226A2 EP94102963A EP94102963A EP0615226A2 EP 0615226 A2 EP0615226 A2 EP 0615226A2 EP 94102963 A EP94102963 A EP 94102963A EP 94102963 A EP94102963 A EP 94102963A EP 0615226 A2 EP0615226 A2 EP 0615226A2
Authority
EP
European Patent Office
Prior art keywords
channels
speech
interference
noise reduction
individual
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
EP94102963A
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German (de)
English (en)
Other versions
EP0615226B1 (fr
EP0615226A3 (en
Inventor
Klaus Dr. Ing. Linhard
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.)
Mercedes Benz Group AG
Original Assignee
Daimler Benz AG
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Filing date
Publication date
Application filed by Daimler Benz AG filed Critical Daimler Benz AG
Publication of EP0615226A2 publication Critical patent/EP0615226A2/fr
Publication of EP0615226A3 publication Critical patent/EP0615226A3/de
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Publication of EP0615226B1 publication Critical patent/EP0615226B1/fr
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    • 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
    • G10L2021/02166—Microphone arrays; Beamforming

Definitions

  • the invention relates to a method according to the preamble of patent claim 1.
  • Such a method is used in automatic speech recognition or in hands-free systems to improve speech quality, e.g. in offices or in a motor vehicle.
  • Disrupted speech is easier to grasp if it is recorded with two or more channels. Language and interference should be present in each channel.
  • the multi-channel signals are processed with digital signal processing.
  • the transit time difference of the useful signal in the individual channels must first be determined. It will later be possible to merge the individual channels into one channel in the correct phase.
  • an acoustic directional lobe is set for this event.
  • the noise reduction is first carried out in each individual channel. Since the noise reduction does not work correctly, distortions and artificial insertions (e.g. "musical tones") can occur. When merging the individual processed channels, these errors are averaged and thus reduced.
  • the sum signal is then post-processed using the cross-correlation of the signals in the individual channels. It is assumed that interference or reverberation is less correlated than the useful signal of the channels.
  • a method for merging 2 disturbed speech channels is described in the publication "Multimicrophone signal-processing technique to remove room reverberation from speech signals” by Allen, Berkley and Blauert (J: Acoust. Soc. Am., Vol. 62, No. 4, October 1977) and out “Noise Suppression Signal Processing Using 2-Point Received Signals” by Kaneda and Tohyame (Electronics and Communication in Japan, Vol. 67-A, No. 12, 1984).
  • the first method is intended for the dehalling of speech signals and does not use a real phase compensation of the useful signal and the dehalling with noise reduction is only carried out in a post-processing stage.
  • the second method uses a simple linear phase compensation of the channels, but here too the noise is only reduced in the post-processing stage.
  • the invention is therefore based on the object of specifying a method for noise reduction in which the noise reduction is carried out in several stages and a significant improvement in the speech quality is achieved.
  • the microphone signals x and y are transformed into the frequency range (FFT, Fast Fourier Transformation).
  • the segments are half overlapped and weighted with a Hanning window.
  • the segments are each N values long and are expanded by an additional N zeros.
  • the transformed segments X l (i) and Y l (i) result.
  • the output signal z results after inverse transformation and the overlap of the segments.
  • the sampling rate of the signals x and y is, for example, 12 kHz.
  • the long-term mean of the magnitude spectrum is subtracted (spectral subtraction H SPS ).
  • the short-term average K and the long-term average L are used to calculate a first adaptive smoothing constant ⁇ .
  • the interference spectrum S nn (i) is estimated with ⁇ .
  • This adaptive smoothing constant replaces the otherwise common speech pause detector.
  • S ⁇ xx, l ( i ) (1 - ⁇ l ) S ⁇ xx, l - 1 ( i ) + ⁇ l
  • Part of the background noise is allowed to create a natural auditory impression and to mask part of the "musical tones".
  • a second adaptive smoothing with ⁇ is used to reduce a further part of the "musical tones" by smoothing the power density S xx little during speech and strongly smoothing during pause.
  • the method specified in the unpublished patent application P 42 43 831 is used to calculate the linear phase shift between useful parts in the channels. This method fits seamlessly into the noise reduction method according to the invention.
  • the phase shift is estimated from a selected number of the maximums of the cross power density and the phase correction is achieved by multiplication in the frequency domain with the all-pass function H ALLP .
  • X ⁇ l ( i ): X ⁇ l ( i )H ALLP
  • l X ⁇ l ( i ): X ⁇ l ( i ) (cos ( i * ⁇ ) + j sin ( i * ⁇ ))
  • phase correction is carried out for the other channel.
  • the first channel serves as a reference.
  • the directional filters for the channels are calculated using a "beamforming process". Various cases can be considered as noise. Different directional filters H R result depending on the noise situation . A set of these filters is selected, however, if the system status is known in later operation, it is possible to switch to a specific set or the filters can be continuously adapted.
  • the "Beamforming method” is the Frost gradient method ("An Algorithm for Linearly Constrained Adaptive Array Processing" Proc. IEEE, Vol. 60, No. 8, 1972) or according to Sondhi and Elko ("Adaptive Optimization of Microphone Arrays under a Nonlinear Contraint” Int. Conf. on ASSP, Tokyo, 1096, pp. 981-984).
  • the method according to the invention is not limited to systems with two channels, but can be used for multi-channel systems (3 and more channels).

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)
  • Circuit For Audible Band Transducer (AREA)
  • Soundproofing, Sound Blocking, And Sound Damping (AREA)
EP94102963A 1993-03-11 1994-02-28 Procédé de réduction de bruit pour canaux de parole perturbés Expired - Lifetime EP0615226B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE4307688A DE4307688A1 (de) 1993-03-11 1993-03-11 Verfahren zur Geräuschreduktion für gestörte Sprachkanäle
DE4307688 1993-03-11

Publications (3)

Publication Number Publication Date
EP0615226A2 true EP0615226A2 (fr) 1994-09-14
EP0615226A3 EP0615226A3 (en) 1995-08-23
EP0615226B1 EP0615226B1 (fr) 1999-05-06

Family

ID=6482502

Family Applications (1)

Application Number Title Priority Date Filing Date
EP94102963A Expired - Lifetime EP0615226B1 (fr) 1993-03-11 1994-02-28 Procédé de réduction de bruit pour canaux de parole perturbés

Country Status (2)

Country Link
EP (1) EP0615226B1 (fr)
DE (2) DE4307688A1 (fr)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998003965A1 (fr) * 1996-07-19 1998-01-29 Daimler-Benz Ag Procede pour reduire les parasites dans un signal vocal
EP1251493A2 (fr) * 2001-04-14 2002-10-23 DaimlerChrysler AG Procédé pour la réduction du bruit avec fréquence parasite auto-adaptative
EP1286333A1 (fr) * 2001-08-21 2003-02-26 Culturecom Technology (Macau) Ltd. Procédé et dispositif de traitements d'un signal de son
US11741973B2 (en) 2015-03-09 2023-08-29 Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. Audio encoder for encoding a multichannel signal and audio decoder for decoding an encoded audio signal

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19942868A1 (de) * 1999-09-08 2001-03-15 Volkswagen Ag Verfahren zum Betrieb einer Mehrfachmikrofonanordnung in einem Kraftfahrzeug sowie Mehrfachmikrofonanordnung selbst
DE19955156A1 (de) * 1999-11-17 2001-06-21 Univ Karlsruhe Verfahren und Vorrichtung zur Unterdrückung eines Störsignalanteils im Ausgangssignal eines Schallwandlermittels
DE10120231A1 (de) * 2001-04-19 2002-10-24 Deutsche Telekom Ag Verfahren und Anordnung zur einkanaligen Geräuschreduktion für gestörte Sprachsignale

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4112430A (en) * 1977-06-01 1978-09-05 The United States Of America As Represented By The Secretary Of The Navy Beamformer for wideband signals
US4653102A (en) * 1985-11-05 1987-03-24 Position Orientation Systems Directional microphone system

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4066842A (en) * 1977-04-27 1978-01-03 Bell Telephone Laboratories, Incorporated Method and apparatus for cancelling room reverberation and noise pickup
JPS5715597A (en) * 1980-07-02 1982-01-26 Nippon Gakki Seizo Kk Microphone device
US4811404A (en) * 1987-10-01 1989-03-07 Motorola, Inc. Noise suppression system
JPH01118900A (ja) * 1987-11-01 1989-05-11 Ricoh Co Ltd 雑音抑圧装置
DE4012349A1 (de) * 1989-04-19 1990-10-25 Ricoh Kk Einrichtung zum beseitigen von geraeuschen
GB8911153D0 (en) * 1989-05-16 1989-09-20 Smiths Industries Plc Speech recognition apparatus and methods
US5267323A (en) * 1989-12-29 1993-11-30 Pioneer Electronic Corporation Voice-operated remote control system
DE4106405C2 (de) * 1990-03-23 1996-02-29 Ricoh Kk Geräuschunterdrückungseinrichtung für ein Spracherkennungsystem

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4112430A (en) * 1977-06-01 1978-09-05 The United States Of America As Represented By The Secretary Of The Navy Beamformer for wideband signals
US4653102A (en) * 1985-11-05 1987-03-24 Position Orientation Systems Directional microphone system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING 1991, Bd. 5, 14.Mai 1991 - 17.Mai 1991 TORONTO, CA, Seiten 3581-3584, KELLERMANN 'A self-steering digital microphone array' *
SIGNAL PROCESSING VI - THEORIES AND APPLICATIONS. PROCEEDINGS OF EUSIPCO-92, SIXTH EUROPEAN SIGNAL PROCESSING CONFERENCE, 24.August 1992 - 27.August 1992 BRUSSELS, BE, Seiten 1633-1636, LE BOUQUIN ET AL. 'Study of a noise cancellation system based on the coherence function' *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998003965A1 (fr) * 1996-07-19 1998-01-29 Daimler-Benz Ag Procede pour reduire les parasites dans un signal vocal
US6687669B1 (en) 1996-07-19 2004-02-03 Schroegmeier Peter Method of reducing voice signal interference
EP1251493A2 (fr) * 2001-04-14 2002-10-23 DaimlerChrysler AG Procédé pour la réduction du bruit avec fréquence parasite auto-adaptative
EP1251493A3 (fr) * 2001-04-14 2003-11-19 DaimlerChrysler AG Procédé pour la réduction du bruit avec fréquence parasite auto-adaptative
US7020291B2 (en) 2001-04-14 2006-03-28 Harman Becker Automotive Systems Gmbh Noise reduction method with self-controlling interference frequency
EP1286333A1 (fr) * 2001-08-21 2003-02-26 Culturecom Technology (Macau) Ltd. Procédé et dispositif de traitements d'un signal de son
US11741973B2 (en) 2015-03-09 2023-08-29 Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. Audio encoder for encoding a multichannel signal and audio decoder for decoding an encoded audio signal
US11881225B2 (en) 2015-03-09 2024-01-23 Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. Audio encoder for encoding a multichannel signal and audio decoder for decoding an encoded audio signal

Also Published As

Publication number Publication date
DE4307688A1 (de) 1994-09-15
EP0615226B1 (fr) 1999-05-06
EP0615226A3 (en) 1995-08-23
DE59408194D1 (de) 1999-06-10

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