DocumentCode :
2713555
Title :
Hidden Markov models based on multi-space probability distribution for pitch pattern modeling
Author :
Tokuda, Keiichi ; Masuko, Takushi ; Miyazaki, Noboru ; Kobayashi, Takuo
Author_Institution :
Dept. of Comput. Eng., Nagoya Inst. of Technol., Japan
Volume :
1
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
229
Abstract :
This paper discusses a hidden Markov model (HMM) based on multi-space probability distribution (MSD). The HMMs are widely-used statistical models to characterize the sequence of speech spectra and have successfully been applied to speech recognition systems. From these facts, it is considered that the HMM is useful for modeling pitch patterns of speech. However, we cannot apply the conventional discrete or continuous HMMs to pitch pattern modeling since the observation sequence of the pitch pattern is composed of one-dimensional continuous values and a discrete symbol which represents “unvoiced”. MSD-HMM includes discrete HMMs and continuous mixture HMMs as special cases, and further can model the sequence of observation vectors with variable dimension including zero-dimensional observations, i.e., discrete symbols. As a result, MSD-HMMs can model pitch patterns without heuristic assumption. We derive a reestimation algorithm for the extended HMM and show that it can find a critical point of the likelihood function
Keywords :
hidden Markov models; maximum likelihood estimation; probability; spectral analysis; speech processing; HMM; MSD-HMM; continuous mixture HMMs; discrete HMMs; discrete symbol; discrete symbols; hidden Markov models; likelihood function; multi-space probability distribution; observation sequence; one-dimensional continuous values; pitch pattern modeling; reestimation algorithm; speech recognition; speech spectra; statistical models; unvoiced; zero-dimensional observations; Computer science; Context modeling; Continuing education; Hidden Markov models; Laboratories; Probability density function; Probability distribution; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.758104
Filename :
758104
Link To Document :
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