Method for the composition of noise-resistant hidden markov mode

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395 225, 395 235, 395 242, G10L 506

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057218080

ABSTRACT:
Noise-resistant speech HMMs are composed by: recording noise in the environment of utterance (S.sub.1); preparing HMMs of the noise (S.sub.2); transforming the output probability distribution of each of the noise HMMs and speech HMMs prepared from speech unaffected by noise and multiplicative distortion to a linear spectral domain (S.sub.31); multiplying the speech HMM distribution in the linear spectral domain by a multiplicative distortion W that is an unknown variable (S.sub.321); convoluting the multiplied value and the noise HMM distribution in the linear spectral domain (S.sub.322); inversely transforming the convoluted value to the original domain of the speech HMM (S.sub.33) to compose incomplete noise-resistant speech HMMs each containing multiplicative distortion as an unknown variable (S.sub.3); calculating the likelihoods of the incomplete noise-resistant speech HMMs for input speech and estimating the multiplicative distortion of that one of the incomplete noise-resistant HMMs which has the maximum likelihood (S.sub.4); and substituting the estimated value into the incomplete noise-resistant speech HMMs (S.sub.5).

REFERENCES:
patent: 4933973 (1990-06-01), Porter
patent: 5590242 (1996-12-01), Juang et al.
Minami et al. "A Maximum Likelihood Procedure for a Universal Adaptation Method based on HMM Composition." NTT Human Interface laboratories, Tokyo, pp. 129-132, 1995.
R.C. Rose et al. "Integrated Models of Signal and Background with Application to Speaker Identification in Noise." IEEE Transactions on Speech and Audio Processing, vol. 2, pp. 245-257, Apr. 1994.
Juang et al. "Signal Bias Removal for Robust Telephone Based Speech Recognition in adverse Environments." Proc. ICASSP'94, pp. 1445-1448, Apr. 1994.

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