Speech pattern recognition apparatus utilizing multiple independ

Details Speech pattern recognition apparatus utilizing multiple independ Speech pattern recognition apparatus utilizing multiple independ

1994-02-08

1997-02-25

MacDonald, Allen R.

395 245, G10L 506, G10L 900

Patent

active

056066457

ABSTRACT:
An A/D converter quantizes an input speech signal, a sound analyzing section provides an LPC sound analysis to quantized data, and feature parameters are extracted. A matching section obtains PS sequences in the 1st through nth places (n: an integer which is larger than 1) from the obtained feature parameters by use of a PS dictionary. An HMM learning section parameter-estimation learns the obtained PS sequences in the 1st through nth places by Baum Welch algorithm of a hidden Markov model as an individual learning PS sequence.

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Tseng et al., Fuzzy Vector Quantazation applied to Hidden Markov Molding, 1987 Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, vol. 2, pp. 641-644 (Apr. 6, 1987).

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