Method and system for identifying speech sound and...

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

Reexamination Certificate

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C704S214000, C704S226000, C381S094200

Reexamination Certificate

active

07809560

ABSTRACT:
In a method and system for identifying speech sound and non-speech sound in an environment, a speech signal and other non-speech signals are identified from a mixed sound source having a plurality of channels. The method includes the following steps: (a) using a blind source separation (BSS) unit to separate the mixed sound source into a plurality of sound signals; (b) storing spectrum of each of the sound signals; (c) calculating spectrum fluctuation of each of the sound signals in accordance with stored past spectrum information and current spectrum information sent from the blind source separation unit; and (d) identifying one of the sound signals that has a largest spectrum fluctuation as the speech signal.

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English language Abstract of JP 2002-023776.
Visser et al., “Blind source separation in mobile environments using a priori knowledge,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 (ICASSP'04), Montreal, Quebec, Canada, May 17-21, 2004, Piscataway, NJ, USA, IEEE, vol. 3, May 17, 2004, pp. 893-896; XP010718334.
Jayaraman et al., “Blind source separation of acoustic mixtures using time-frequency domain independent component analysis,” Proceedings of the 9th International Conference on Neural Information Processing, 2002 (ICONIP'02), Nov. 18-22, 2002, Piscataway, NJ, USA, IEEE, vol. 3, Nov. 18, 2002, pp. 1383-1387; XP010640643.

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