Speech recognition method

Details Speech recognition method Speech recognition method

1995-09-18

1998-07-28

Hudspeth, David R.

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704255, G10L 506, G10L 900

Patent

active

057873968

ABSTRACT:
A speech recognition method uses continuous mixture Hidden Markov Models (HMM) for probability processing including a first type of HMM having a small number of mixtures and a second type of HMM having a larger number of mixtures. First output probabilities are formed for inputted speech using the small number of mixtures type HMM and second output probabilities are formed for the input speech using the large number of mixtures type HMM for selected states corresponding to the highest output probabilities of the first type HMM. The input speech is recognized from both the first and second output probabilities.

REFERENCES:
patent: 5289562 (1994-02-01), Mizuta et al.
Isobe T, Murakami K, Teleph. Speech Data Corpus and Perf. of Speaker Indep. Recog. Sys. Using the Corpus, IEEE IVTTA pp. 101-104, Sep. 1994.
Kannan A et al, Maximum Likelihood Clustering of Gaussians for Speech Recognition, IEEE Trans. on Speech and Audio Proc., vol. 2 No. 3 pp. 453-455, Jul. 1994.
Itou K et al, Cont. Speech Recog. by Context-Dependent Phonetic HMM and an Efficient Alg. for finding N-Best Sentence Hypoth., IEEE ASSP vol. 1 pp. I21-I24, Mar. 1993.
Bocchieri E, et al, Vector Quantization for the Efficient Computation of Continuous Density Likelihood, IEEE ASSP vol. 2 pp. II692-II695, Apr. 1993 .

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