Bibliografische Daten

Dokument US000008290189B2 (Seiten: 9)

Bibliografische Daten Dokument US000008290189B2 (Seiten: 9)
INID Kriterium Feld Inhalt
54 Titel TI [EN] Blind source separation method and acoustic signal processing system for improving interference estimation in binaural wiener filtering
71/73 Anmelder/Inhaber PA KELLERMANN WALTER, DE ; SIEMENS AG, DE ; ZHENG YUANHANG, DE
72 Erfinder IN KELLERMANN WALTER, DE ; ZHENG YUANHANG, DE
22/96 Anmeldedatum AD 21.01.2010
21 Anmeldenummer AN 69101510
Anmeldeland AC US
Veröffentlichungsdatum PUB 16.10.2012
33
31
32
Priorität PRC
PRN
PRD
EP
09000799
20090121
51 IPC-Hauptklasse ICM H04B 15/00 (2006.01)
51 IPC-Nebenklasse ICS H04R 1/02 (2006.01)
H04R 25/00 (2006.01)
IPC-Zusatzklasse ICA
IPC-Indexklasse ICI
Gemeinsame Patentklassifikation CPC G10L 21/0272
H04R 2225/41
H04R 25/407
H04R 25/552
MCD-Hauptklasse MCM H04B 15/00 (2006.01)
MCD-Nebenklasse MCS G10L 21/0272 (2013.01)
G10L 21/02 (2006.01)
H04R 1/02 (2006.01)
H04R 25/00 (2006.01)
MCD-Zusatzklasse MCA
57 Zusammenfassung AB [EN] A method and an acoustic signal processing system for noise reduction of a binaural microphone signal (x1, x2) with one target point source and M interfering point sources (n1, n2, . . . , nM) as input sources to a left and a right microphone of a binaural microphone system, include: filtering a left and a right microphone signal by a Wiener filter to obtain binaural output signals of a target point source, where the Wiener filter is calculated as: H W = 1 - Φ ( x 1 , n + x 2 , n ) ⁢ ( x 1 , n + x 2 , n ) Φ ( x 1 + x 2 ) ⁢ ( x 1 + x 2 ) , where HW is the Wiener filter, Φ(x1,n+x2,n)(x1,n+x2,n) is the auto power spectral density of the sum of all of the M interfering point sources components (x1,n, x2,n) contained in the left and right microphone signals and Φ(x1+x2)(x1+x2) is the auto power spectral density of the sum of the left and right microphone signals. Due to the linear-phase property of the calculated Wiener filter, original binaural cues are perfectly preserved not only for the target source but also for the residual interfering sources.
56 Entgegengehaltene Patentdokumente/Zitate,
in Recherche ermittelt
CT US000007171008B2
US020100246850A1
US020110305345A1
56 Entgegengehaltene Patentdokumente/Zitate,
vom Anmelder genannt
CT US000007464029B2
US020060120535A1
US020070021958A1
WO002007128825A1
56 Entgegengehaltene Nichtpatentliteratur/Zitate,
in Recherche ermittelt
CTNP
56 Entgegengehaltene Nichtpatentliteratur/Zitate,
vom Anmelder genannt
CTNP Erik Visser, et al., "Speech Enhancement Using Blind Source Separation and Two-Channel Energy Based Speaker Detection", Institute for Neural Computation, University of California, San Diego, 2003, pp. 884-887, California. 1;
European Search Report dated May 8, 2009. 1;
Yu Takahashi, et al., "Blind Source Extraction for Hands-Free Speech Recognition Based on Wiener Filtering and ICA-Based Noise Estimation," Nara Institute of Science and Technology, Nara 630-0192, 2008, pp. 164-167, Japan. 1
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Prüfstoff-IPC ICP G10L 21/02
H04R 1/02
H04R 25/00