NDLI: A study of training strategy of unit HMM for Chinese speech recognition

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A study of training strategy of unit HMM for Chinese speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Pi Xiaobo Du Limin Hou Ziqiang
Copyright Year	1996
Description	Author affiliation: Inst. of Acoust., Acad. Sinica, Beijing, China (Pi Xiaobo)
Abstract	In an automatic speech recognition system based on HMM, the training of the unit HMM and the sequence of unit HMMs is not globally optimized therefore, the choice of initial parameters of the unit HMM, and the controlling for evolution of the training are crucial to the final results of the training and recognition accuracy. Rational considerations of the strategy for the training of the unit HMM and sequence of unit HMMs should be beneficial to performance improvement. We study the issue by comparing several methods of initialization of the parameters of the unit HMM, the controlling strategies of the training process and their effects on the recognition accuracy.
Starting Page	777
Ending Page	780
File Size	355259
Page Count	4
File Format	PDF
ISBN	0780329120
DOI	10.1109/ICSIGP.1996.567378
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-10-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Speech recognition Training data Testing Automatic speech recognition Acoustics Design optimization Process control Gaussian processes Covariance matrix
Content Type	Text
Resource Type	Article

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