Speech Signal Endpoint Detection Using Hidden Markov Models

Abstract

A major cause of errors in automatic speech recognition system is the inaccurate detection of the beginning and ending boundaries of test and reference patterns. Separation of speech and silence segments in automatic speech recognition algorithms occupies a fundamental position. The improper demarcation of these segments reduces system’s efficiency, since… (More)

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Cite this paper

@inproceedings{Ahmed2007SpeechSE, title={Speech Signal Endpoint Detection Using Hidden Markov Models}, author={M. Masroor Ahmed and Abdul Rahman Manan and Bin Ahmed and Razib M. Othman and Sheraz Khan}, year={2007} }