Speech recognition apparatus and method recognizing a speech...

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

Reexamination Certificate

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Reexamination Certificate

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08073690

ABSTRACT:
A voice recognition system (10) for improving the toughness of voice recognition for a voice input for which a deteriorated feature amount cannot be completely identified. The system comprises at least two sound detecting means (16a, 16b) for detecting a sound signal, a sound source localizing unit (21) for determining the direction of a sound source based on the sound signal, a sound source separating unit (23) for separating a sound by the sound source from the sound signal based on the sound source direction, a mask producing unit (25) for producing a mask value according to the reliability of the separation results, a feature extracting unit (27) for extracting the feature amount of the sound signal, and a voice recognizing unit (29) for applying the mask to the feature amount to recognize a voice from the sound signal.

REFERENCES:
patent: 6967455 (2005-11-01), Nakadai et al.
Yamamoto et al., “Assessment of General Applicability of Robot Audition System by Recognizing three Simultaneous Speeches”, Proceedings of 2004 IEEE/RSJ International Conference, Sep. 28-Oct. 2, 2004, pp. 2111-2116.
Yamamoto et al. “Evaluation of MFT-Based Interface between Sound Source Separation and ASR”, vol. 22, Sep. 2004, a total of 5 pages.
Cooke, et al., “Robust automatic speech recognition with missing and unreliable acoustic data”, Speech Communication 34 (2001), pp. 267-285.
European Search Report application No. 05814282.9 dated Sep. 9, 2009.
Okuno, Hiroshi G., et al., “Effects of Increasing Modalities in Recognizing Three Simultaneous Speeches”, Speech Communication 43, Sep. 1, 2004, pp. 347-359.
Nakadai, Kazuhiro, et al., “Improvement of Recognition of Simultaneous Speech Signals Using AV Integration and Scattering Theory for Humanoid Robots”, Speech Communication 44, Oct. 1, 2004, pp. 97-112.
Yamamoto, Shun'ichi, et al., “Improvement of Robot Audition by Interfacing Sound Source Separation and Automatic Speech Recognition with Missing Feature Theory”, International Conference on Robotics & Automation, Apr. 26, 2004, pp. 1517-1523.
McCowan, Iain et al., “Improving Speech Recognition Performance of Small Microphone Arrays Using Missing Data Techniques”, Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP), Sep. 16-20, 2002, pp. 2181-2184.

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