Sound-source separation system

Details Sound-source separation system Sound-source separation system

2011-07-26

2011-07-26

Dorvil, Richemond (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S233000, C704S268000, C704SE19039, C702S190000, C702S196000

Reexamination Certificate

active

07987090

ABSTRACT:
A system capable of reducing the influence of sound reverberation or reflection to improve sound-source separation accuracy. An original signal X(ω,f) is separated from an observed signal Y(ω,f) according to a first model and a second model to extract an unknown signal E(ω,f). According to the first model, the original signal X(ω,f) of the current frame f is represented as a combined signal of known signals S(ω,f−m+1) (m=1 to M) that span a certain number M of current and previous frames. This enables extraction of the unknown signal E(ω,f) without changing the window length while reducing the influence of reverberation or reflection of the known signal S(ω,f) on the observed signal Y(ω,f).

REFERENCES:
patent: 6430528 (2002-08-01), Jourjine et al.
patent: 6898612 (2005-05-01), Parra et al.
patent: 6937977 (2005-08-01), Gerson
patent: 7440891 (2008-10-01), Shozakai et al.
patent: 7496482 (2009-02-01), Araki et al.
patent: 7650279 (2010-01-01), Hiekata et al.
patent: 7797153 (2010-09-01), Hiroe
patent: 2003/0083874 (2003-05-01), Crane et al.
patent: 2005/0288922 (2005-12-01), Kooiman
patent: 2006/0136203 (2006-06-01), Ichikawa
patent: 2007/0185705 (2007-08-01), Hiroe
patent: 2007/0198268 (2007-08-01), Hennecke
patent: 2009/0222262 (2009-09-01), Kim et al.
Ikeda et al. “A Method of ICA in Time-Frequency Domain” 1999.
Valin et al. “Enhanced Robot Audition Based on Microphone Array Source Separation with Post-Filter” 2004.
Sawada et al. “A Robust and Precise Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation” 2004.
Lee et al. “Blind Separation of delayed and convolved sources” 1997.
Kopriva et al. “An Adaptive Short-Time Frequency Domain Algorithm for Blind Separation of Nonstationary Convolved Mixtures” 2001.
Saruwatari et al. “Two-Stage Blind Source Separation Based on ICA and Binary Masking for Real-Time Robot Audition System” 2005.
Takeda et al. “Missing-Feature based Speech Recognition for Two Simultaneous Speech Signals Separated by ICA with a pair of Humanoid Ears” Oct. 2006.
Yamamoto et al. “Real-Time Robot Audition System That Recognizes Simultaneous Speech in The Real World” Oct. 2006.
Miyabe et al. “Interface for Barge-in Free Spoken Dialogue System Based on Sound Field Reproduction andMicrophone Array” vol. 2007 Issue 1, Jan. 1, 2007.
Murata et al. “An approach to blind source separation based on temporal structure of speech signals” 2001.
Yamamoto et al. “Improvement of Robot Audition by Interfacing Sound Source Separation and Automatic Speech Recognition with Missing Feature Theory” 2004.
“Separation of speech signals under reverberant conditions”, Christine Serviere, Proceedings of EUSIPCP 2004, Sep. 6, 2004, pp. 1693-1696, XP002503095.
“Springer Handbook of Speech Processing” Nov. 16, 2007. Springerberlin Heidelberg, XP002503096, p. 1077.
“Exploiting known sound source signals to improve ICA-based robot audition in speech separation and recognition”, Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International L Conferenceon, IEEE, Pl. Oct. 29, 2007, pp. 1757-1762, XP03122296.
A New Adaptive Filter Algorithm for System Identification using Independent Component Analysis, Jun-Mei Yang et al., pp. 1341-1344, Discussed on p. 2 of specification, English text, Apr. 2007.
Double-Talk Free Spoken Dialogue Interface Combining Sound Field Control With Semi-Blind Source Separation, Shigeki Miyabe et al., pp. 809-812, Discussed on p. 3 of specification, English text, 2006.
Polar Coordinate Based Nonlinear Function for Frequency-Domain Blind Source Separation, Hiroshi Sawada et al., pp. 590-595, Discussed on p. 4 of specification, English text, Mar. 2003.

Affiliated with

Also associated with

Rating

Sound-source separation system does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Sound-source separation system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Sound-source separation system will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2652783