| 54 |
Title |
TI |
[EN] Blind source separation method and acoustic signal processing system for improving interference estimation in binaural wiener filtering |
| 71/73 |
Applicant/owner |
PA |
KELLERMANN WALTER, DE
;
SIEMENS AG, DE
;
ZHENG YUANHANG, DE
|
| 72 |
Inventor |
IN |
KELLERMANN WALTER, DE
;
ZHENG YUANHANG, DE
|
| 22/96 |
Application date |
AD |
Jan 21, 2010 |
| 21 |
Application number |
AN |
69101510 |
|
Country of application |
AC |
US |
|
Publication date |
PUB |
Oct 16, 2012 |
33
31
32 |
Priority data |
PRC
PRN
PRD |
EP
09000799
20090121
|
| 51 |
IPC main class |
ICM |
H04B 15/00
(2006.01)
|
| 51 |
IPC secondary class |
ICS |
H04R 1/02
(2006.01)
H04R 25/00
(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 |
H04B 15/00
(2006.01)
|
|
MCD secondary class |
MCS |
G10L 21/0272
(2013.01)
G10L 21/02
(2006.01)
H04R 1/02
(2006.01)
H04R 25/00
(2006.01)
|
|
MCD additional class |
MCA |
|
| 57 |
Abstract |
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 |
Cited documents identified in the search |
CT |
US000007171008B2
US020100246850A1
US020110305345A1
|
| 56 |
Cited documents indicated by the applicant |
CT |
US000007464029B2
US020060120535A1
US020070021958A1
WO002007128825A1
|
| 56 |
Cited non-patent literature identified in the search |
CTNP |
|
| 56 |
Cited non-patent literature indicated by the applicant |
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
|
|
Citing documents |
|
EP000002974084B1
US000009277333B2
US000009949041B2
US000009953640B2
US000010008202B2
US000010043513B2
US000010068583B2
US000010186261B2
US000010347269B2
US000010510344B2
WO002014138774A1
|
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Sequence listings |
|
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Search file IPC |
ICP |
G10L 21/02
H04B 15/00
H04R 1/02
H04R 25/00
|
