Adaptation of acoustic prototype vectors in a speech recognition

Details Adaptation of acoustic prototype vectors in a speech recognition Adaptation of acoustic prototype vectors in a speech recognition

1990-02-27

1991-09-03

Kemeny, Emanuel S.

Electrical audio signal processing systems and devices

One-way audio signal program distribution

Public address system

3645135, G10L 500

Patent

active

050460994

ABSTRACT:
In a speech recognition system, the prior parameters of acoustic prototype vectors are adapted to a new speaker to obtain posterior parameters by having the speaker utter a set of adaptation words. The prior parameters of an acoustic prototype vector are adapted by a weighted sum of displacement vectors obtained from the adaptation utterances. Each displacement vector is associated with one segment of an uttered adaptation word. Each displacement vector represents the distance between the associated segment of the adaptation utterance and the model corresponding to that segment. Each displacement vector is weighted by the strength of the relationship of the acoustic prototype vector to the word segment model corresponding to the displacement vector.

REFERENCES:
patent: 4718094 (1988-01-01), Bahl et al.
patent: 4977599 (1990-12-01), Bahl et al.
Bahl, L. R., et al. "Acoustic Markov Models Used in the Tangora Speech Recognition System", Proc. ICASSP '88, S11-3, pp. 497-500, Apr. 1988.
Shikano, K. "Speaker Adaptation by Vector Quantization", Electronics and Communication Institute Technical Research Report, SP-86-65, pp. 33-40, Dec. 1986.
Furui, S. "Speaker Adaptation Method without a Teacher Based upon Clustering of Spectrum Space", Japanese Acoustic Institute, Proceeding of Spring National Meeting of Showa 63, 2-2-16, Mar. 1988.
Nishimura, M. et al, "Speaker Adaptation Method for HMM-Based Speech Recognition", Proc. ICASSP '88, S5-7, Apr. 1988.

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