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Document EP000002211563A1 (Pages: 16)

Bibliographic data Document EP000002211563A1 (Pages: 16)
INID Criterion Field Contents
54 Title TI [DE] Verfahren und Vorrichtung zur blinden Quellentrennung zur Verbesserung der Störgeräuschschätzung bei der binauralen Wiener-Filterung
[EN] Method and apparatus for blind source separation improving interference estimation in binaural Wiener filtering
[FR] Procédé et système de séparation aveugle de sources pour améliorer l'estimation d'interférence dans un filtrage de Wiener binaural
71/73 Applicant/owner PA SIEMENS MEDICAL INSTR PTE LTD, SG ; UNIV FRIEDRICH ALEXANDER ER, DE
72 Inventor IN KELLERMANN WALTER, DE ; ZHENG YUANHANG, DE
22/96 Application date AD Jan 21, 2009
21 Application number AN 09000799
Country of application AC EP
Publication date PUB Jul 28, 2010
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Priority data PRC
PRN
PRD


51 IPC main class ICM H04R 25/00 (2006.01)
51 IPC secondary class ICS G10L 21/02 (2006.01)
IPC additional class ICA
IPC index class ICI
Cooperative patent classification CPC G10L 21/0272
H04R 2225/41
H04R 25/407
H04R 25/552
MCD main class MCM H04R 25/00 (2006.01)
MCD secondary class MCS G10L 21/0272 (2013.01)
G10L 21/02 (2006.01)
MCD additional class MCA
57 Abstract AB [EN] The invention claims a method and an appropriate acoustic signal processing system for noise reduction of a binaural microphone signal ( x 1 , x 2 ) with one target point source (s) and M interfering point sources (n 1 , n 2 , ...,n M ) as input sources to a left and a right microphone (2) of a binaural microphone system, comprising the step of: - filtering a left and a right microphone signal ( x 1 , x 2 ) by a Wiener filter (14) to obtain binaural output signals ( s L , s R ) of the target point source (s), where said Wiener filter (14) is calculated as H W = 1 - ¦ x 1 , n + x 2 , n ¢ x 1 , n + x 2 , n ¦ x 1 + x 2 ¢ x 1 + x 2 , where H w is said Wiener filter (14), ¦( x 1, n + x 2, n )( x 1,n+ x 2, n ) is the auto power spectral density of the sum of all the M interfering point sources components (x1,n, x2,n) contained in the left and right microphone signal (x1, x2) and ¦( x 1 + x 2 )( x 1 + x 2 ) is the auto power spectral density of the sum of the left and right microphone signal (x1, x2). Owing to the linear-phase property of the calculated Wiener filter (14), original binaural cues are perfectly preserved not only for the target source (s) but also for the residual interfering sources (n 1 , n 2 , ... n M ) .
56 Cited documents identified in the search CT US020060120535A1
US020070021958A1
WO002007128825A1
56 Cited documents indicated by the applicant CT
56 Cited non-patent literature identified in the search CTNP VISSER E; TE-WON LEE: "Speech enhancement using blind source separation and two-channel energy based speaker detection", PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP'03) 6-10 APRIL 2003 HONG KONG, CHINA, vol. 1, 6 April 2003 (2003-04-06), 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (Cat. No.03CH37404) IEEE Piscataway, NJ, USA, pages I-884 - I-887, XP002526938, ISBN: 0-7803-7663-3 0;
YU TAKAHASHI ET AL: "Blind Source Extraction for Hands-Free Speech Recognition Based on Wiener Filtering and ICA-Based Noise Estimation", HANDS-FREE SPEECH COMMUNICATION AND MICROPHONE ARRAYS, 2008. HSCMA 2008, IEEE, PISCATAWAY, NJ, USA, 6 May 2008 (2008-05-06), pages 164 - 167, XP031269772, ISBN: 978-1-4244-2337-8 0
56 Cited non-patent literature indicated by the applicant CTNP
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Search file IPC ICP G10L 21/02
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