NDLI: Training of HMM recognizers by simulated annealing

Content Provider	IEEE Xplore Digital Library
Author	Paul, D.
Copyright Year	1985
Description	Author affiliation: Massachusetts Institute of Technology, Lexington, Massachusetts (Paul, D.)
Abstract	Hidden Markov models (HMM) are the basis for some of the more successful systems for continuous and discrete utterance speech recognition. One of the reasons for the success of these models is their ability to train automatically from marked speech data. The currently known forward-backward and gradient training methods suffer from the problem that they converge to a local maximum rather than to the global maximum. Simulated annealing is a stochastic optimization procedure which can escape a local optimum in the hope of finding the global optimum when presented with a system which contains many local optima. This paper shows how simulated annealing may be used to train HMM systems. It is experimentally shown to locate what appears to be the global maximum with a higher probability than the forward-backward algorithm.
Starting Page	13
Ending Page	16
File Size	71164
Page Count	4
File Format	PDF
DOI	10.1109/ICASSP.1985.1168454
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1985-04-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Simulated annealing Stochastic processes Decoding Viterbi algorithm Computational modeling Speech recognition Equations Parameter estimation Analog computers
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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