NDLI: CDHMM parameters selection for speaker-independent phone recognition in continuous speech system

Content Provider	IEEE Xplore Digital Library
Author	Ben Messaoud, Z. Ben Hamida, A.
Copyright Year	2010
Description	Author affiliation: Electrical Engineering Department, National School of Engineers of Sfax, Pw 3038, Tunisia (Ben Messaoud, Z.; Ben Hamida, A.)
Abstract	Pattern recognition has long been a topic of fundamental importance in a wide range of science and technology. Over the years there have been a range of several tasks developed for speech recognition. While in recent years speech recognizer evaluation has focused on LVCSR research, we believe that evaluating recognition at the phone level is important since the words are always represented by the concatenation of phones units. These phones are acoustically modeled by the predominant static model in automatic speech recognition remains the Hidden Markov Model ‘HMM’. In this paper, we investigate the behavior of speaker-independent phone recognition in continuous speech based on the technique of HMM. This study focus on the selection of an optimal model topology in order to achieve a robust phone recognition system which accomplishes the tradeoff between model size and data training. To evaluate and compare the performance of our conceived system to other previous works, we choose the standard TIMIT Database and the platform HTK. We obtain a phone recognition correct rate 69.33 percent and accuracy rate of 63.05 percent which are comparable with others works.
Starting Page	253
Ending Page	258
File Size	174161
Page Count	6
File Format	PDF
ISBN	9781424457939
e-ISBN	9781424457953
DOI	10.1109/MELCON.2010.5476290
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-26
Publisher Place	Malta
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Hidden Markov models Automatic speech recognition Vocabulary Topology Robustness Speech analysis Databases Parameter estimation Pattern recognition
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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