Bibliografische Daten

Dokument EP000002211563A1 (Seiten: 16)

Bibliografische Daten Dokument EP000002211563A1 (Seiten: 16)
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54 Titel TI [DE] Verfahren und Vorrichtung zur blinden Quellentrennung zur Verbesserung der Strgeruschschtzung bei der binauralen Wiener-Filterung
[EN] Method and apparatus for blind source separation improving interference estimation in binaural Wiener filtering
[FR] Procd et systme de sparation aveugle de sources pour amliorer l'estimation d'interfrence dans un filtrage de Wiener binaural
71/73 Anmelder/Inhaber PA SIEMENS MEDICAL INSTR PTE LTD, SG ; UNIV FRIEDRICH ALEXANDER ER, DE
72 Erfinder IN KELLERMANN WALTER, DE ; ZHENG YUANHANG, DE
22/96 Anmeldedatum AD 21.01.2009
21 Anmeldenummer AN 09000799
Anmeldeland AC EP
Veröffentlichungsdatum PUB 28.07.2010
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Priorität PRC
PRN
PRD


51 IPC-Hauptklasse ICM H04R 25/00 (2006.01)
51 IPC-Nebenklasse ICS G10L 21/02 (2006.01)
IPC-Zusatzklasse ICA
IPC-Indexklasse ICI
Gemeinsame Patentklassifikation CPC Neues Fenster: Externer Link Gemeinsame Patentklassifikation H04R 25/407 H04R 25/407
Neues Fenster: Externer Link Gemeinsame Patentklassifikation G10L 21/0272 G10L 21/0272
Neues Fenster: Externer Link Gemeinsame Patentklassifikation H04R 2225/41 H04R 2225/41
Neues Fenster: Externer Link Gemeinsame Patentklassifikation H04R 25/552 H04R 25/552
MCD-Hauptklasse MCM H04R 25/00 (2006.01)
MCD-Nebenklasse MCS G10L 21/02 (2006.01)
G10L 21/0272 (2013.01)
MCD-Zusatzklasse MCA
57 Zusammenfassung 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 ) .
Korrekturinformation KORRINF
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US020060120535A1
US020070021958A1
WO002007128825A1
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56 Entgegengehaltene Nichtpatentliteratur/Zitate,
in Recherche ermittelt
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 Entgegengehaltene Nichtpatentliteratur/Zitate,
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