DocumentCode :
2997830
Title :
An analysis-synthesis hidden Markov model of speech
Author :
Farges, Eric P. ; Clements, Mark A.
Author_Institution :
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
1988
fDate :
11-14 Apr 1988
Firstpage :
323
Abstract :
Continuous speech from one male American speaker is described by a single, large, hidden Markov model. The problems of model parameter estimation, speech-state decoding, and speech-observation decoding are presented under a unified conceptual framework built around a maximum-likelihood approach. The model has 64 states and 1024 observations, and is assumed to be fully connected. This model possesses not only speech analysis but also speech synthesis capabilities. Very-low-bit-rate speech coding is made possible by the fact that very little information is needed to encode speech state sequences. Intelligible speech was produced at 1.68 bits/frame, whereas a 2 bits/frame pitched-excited LPC vector quantizer did not produce intelligible speech
Keywords :
Markov processes; decoding; encoding; parameter estimation; speech analysis and processing; speech synthesis; continuous speech; hidden Markov model; intelligible speech; maximum-likelihood approach; parameter estimation; speech analysis; speech coding; speech state sequences; speech synthesis; speech-observation decoding; speech-state decoding; Bit rate; Databases; Hidden Markov models; Linear predictive coding; Maximum likelihood decoding; Maximum likelihood estimation; Parameter estimation; Speech analysis; Speech coding; Speech synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1988.196581
Filename :
196581
Link To Document :
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