Methods and apparatus for multiple source signal separation

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

Reexamination Certificate

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Reexamination Certificate

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10315680

ABSTRACT:
A technique for separating a signal associated with a first source from a mixture of the first source signal and a signal associated with a second source comprises the following steps/operations. First, two signals respectively representative of two mixtures of the first source signal and the second source signal are obtained. Then, the first source signal is separated from the mixture in a non-linear signal domain using the two mixture signals and at least one known statistical property associated with the first source and the second source, and without a need to use a reference signal.

REFERENCES:
patent: 4209843 (1980-06-01), Hyatt
patent: 6577675 (2003-06-01), Lindgren et al.
patent: 7116271 (2006-10-01), Kostanic et al.
patent: 2000-242624 (2000-09-01), None
J.F. Cardoso, “Blind Signal Separation Statistical Principles,” Proceedings of the IEEE, vol. 9, pp. 1-16, Oct. 1998.
A. Acero et al., “Speech/Noise Separation Using Two Microphones and a VQ Model of Speech Signals,” Proceedings of ICSLP 2000, 4 pages, 2000.
L. Rabiner et al., “Fundamentals of Speech Recognition,” Chapter 3, Prentice Hall Signal Processing Series, pp. 69-117, 1993.
S. Deligne et al., “Robust Speech Recognition with Multi-Channel Codebook Dependent Cepstral Normalization (MCDCN),” Proceedings of ASRU2001, 4 pages, 2001.
M.J.F. Gales et al., “Robust Continuous Speech Recognition Using Parallel Model Combination,” IEEE Transactions on Speech and Audio Processing, vol. 4, pp. 1-14, 1996.
L.R. Bahl et al., “Performance of the IBM Large Vocabulary Continuous Speech Recognition System on the ARPA Wall Street Journal Task,” Proceedings of ICASSP 1995, vol. 1, pp. 41-44, 1995.
S. Deligne et al., “A Robust High Accuracy Speech Recognition System for Mobile Applications,” IEEE Transactions on Speech and Audio Processing, vol. 10, No. 8, pp. 551-561, Nov. 2002.
M. Aoki et al., “Sound Source Segregation Based on Estimating Incident Angle of Each Frequency Component of Input Signals Acquired by Multiple Microphones,” Acoustic Science & Tech., vol. 22, No. 2, pp. 149-157, Oct. 2001 (English Version).
M. Aoki et al., “Sound Source Segregation Based on Estimating Incident Angle of Each Frequency Component of Input Signals Acquired by Multiple Microphones,” Acoustic Science & Tech., vol. 22, No. 2, 2 pages, Oct. 2001 (English Abstract).
M. Aoki et al., “Sound Source Segregation Based on Estimating Incident Angle of Each Frequency Component of Input Signals Acquired by Multiple Microphones,” Acoustic Science & Tech., vol. 22, No. 2, pp. 45-46, Oct. 2001 (Japanese Version).
S. Choi et al., “Flexible Independent Component Analysis,” Neural Networks for Signal Processing VIII, Proceedings of the 1998 IEEE Signal Processing Society Workshop, pp. 83-92, Aug. 1998.

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