Reference pattern training system and speech recognition system

Details Reference pattern training system and speech recognition system Reference pattern training system and speech recognition system

1996-03-11

1998-06-30

Hudspeth, David R.

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704254, 704255, G10L 506

Patent

active

057748489

ABSTRACT:
A training unit selector takes out and compares phoneme data about recognition units stored in a recognition word dictionary and a training word dictionary, and selects a recognition unit from the recognition unit training words stored in the training word dictionary, the selected recognition unit resembling each selected recognition unit in a subject recognition word stored in the recognition word dictionary in phoneme context, the selected recognition unit being sent to a recognition unit reference pattern generator. The recognition unit reference pattern generator utilizes a recognition unit, which is best in accord in phoneme context among training data stored in a training data memory, concerning a recognition unit selected by the training unit selector.

REFERENCES:
patent: 5033087 (1991-07-01), Bahl et al.
patent: 5526466 (1996-06-01), Takizawa
Lee, "Context-Dependent Phonetic Hidden Markov Models for Speaker-Independent Continuous Speech Recognition", Readings in Speech Recognition, ISBN 1-55860-124-4, pp. 347-365, (1990).
Furui, "Digital Speech Processing", Tokai Shuppan, ISBN4-486-00896-0, pp. 186-187, (1985).
Nakagawa, "Speech Recognition with Established Models", The Socity of Electronic Communications Engineers, pp. 28-51, (1988).
Huang, et al., "Semi-continuous Hidden Markov Models for Speech Signal", Stochastic Approaches, pp. 340-346, (1989).
Lee et al., "An Overview of the Sphinx Speech Recognition System", Readings in Speech Recognition, ISBN 1-55860-124-4, pp. 600-610. (1990).

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