Voice recognition system

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

Reexamination Certificate

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C704S256000, C704S255000, C704S243000

Reexamination Certificate

active

06937981

ABSTRACT:
A multiplicative distortion Hm(cep) is subtracted from a voice HMM5, a multiplicative distortion Ha(cep) of the uttered voice is subtracted from a noise HMM6formed by HMM, and the subtraction results Sm(cep) and {Nm(cep)−Ha (cep)} are combined with each other to thereby form a combined HMM18in the cepstrum domain. A cepstrum R^a(cep) obtained by subtracting the multiplicative distortion Ha (cep) from the cepstrum Ra (cep) of the uttered voice is compared with the distribution R^m(cep) of the combined HMM18in the cepstrum domain, and the combined HMM with the maximum likelihood is output as the voice recognition result.

REFERENCES:
patent: 5956679 (1999-09-01), Komori et al.
patent: 6026359 (2000-02-01), Yamaguchi et al.
Hiroki Yamamoto et al., “Fast Speech Recognition Algorithm Under Noisy Environment Using Modified CMS-PMC and Improved IDMM+SQ,” 1997 IEEE, International Conference on Acoustics, Speech and Signal Processing, vol. 2, Apr. 21, 1977, pp. 847-850.
M. Shozakai et al., “A Non-Iterative Model-Adaptive E-CMN/PMC Approach for Speech Recognition in Car Environments.” Eurospeech 1997, Sep. 22, 1977, pp. 287-290.
M.J.F. Gales et al., “Robust Speech Recognition in Additive and Convolutional Noise Using Parallel Model Combination,” Computer Speech and Language, vol. 9, No. 4, Oct. 1, 1995, pp. 289-307.
Jenq-Neng Hwang and Chien-Jen Wang, “Joint Model and Feature Space Optimization for Robust Speech Recognition,” 1997 IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2, Apr. 21, 1997, pp. 855-858.

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