Phonetic Hidden Markov model speech synthesizer

Details Phonetic Hidden Markov model speech synthesizer Phonetic Hidden Markov model speech synthesizer

1991-06-07

1993-07-20

Fleming, Michael R.

G10L 902

Patent

active

052300374

ABSTRACT:
A method and a system for synthesizing speech from unrestricted text, based on the principle of associating a written string of text with a sequence of speech features vectors that most probably model the corresponding speech utterance. The synthesizer is based on the interaction between two different Ergodic Hidden Markov Models: an acoustic model reflecting the constraints on the acoustic arrangement of speech, and a phonetic model interfacing phonemic transcription to the speech features representation.

REFERENCES:
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patent: 4882759 (1989-11-01), Bahl et al.
patent: 5033087 (1991-07-01), Bahl et al.
Falaschi, A. et al., "A Functional Based Phonetic Units Definition for Statistical Speech Recognizers", Eurospeech Proceedings, Paris, France, Sep. 1989, vol. 1, pp. 13-16.
Juang, B. H., "On the Hidden Markov Model and Dynamic Time Warping for Speech Recognition-A Unified View", AT&T Bell Lab. Tech. Journal, vol. 63, No. 7, Sep. 1984, pp. 1213-1243.
Cernuschi-Frias, B. et al., "On the Exact Maximum Likelihood Estimation of Gaussian Autoregressive Processes", IEEE Trans. on Acoustics, Speech, and Signal Proc., vol. 36, No. 6, Jun. 1988, pp. 922-924.
Falaschi, A. et al., "A Finite States Markov Quantizer for Speech Coding", ICASSP Conference Proc., N.M., Jun. 1990, pp. 205-208.
Falaschi, A. et al., "A Hidden Markov Model Approach to Speech Synthesis", Eurospeech Proc. off Paris, France, 1989, pp. 187-190.

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