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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 11, NOVEMBER 2016

Appraisal of Hidden Markov Model and Dynamic Time Wrap Techniques for Isolated Word in Speech Recognition

Indu Bala, Dr. Kailash Bahl

DOI: 10.17148/IJARCCE.2016.51123

Abstract: This paper defines the overall review of speech recognition Technique. Speech recognition has the ability of a machine to identify the words in spoken language or convert it into machine readable form. In a real intelligent computer qualities should have that the machine can hear, understand, and act upon spoken information, and also speak to complete the information exchange The objective of this review paper is to sum up some well-known methods used in various stages of speech recognition system such as Dynamic Time Wrap Model and Hidden Markov Model approaches for isolated speech recognition.



Keywords: Dynamic Time Wrap Model, Hidden Markov Model, isolated speech recognition, time-dependent,, autocorrelation, cepstral, probabilistic model

How to Cite:

[1] Indu Bala, Dr. Kailash Bahl, “Appraisal of Hidden Markov Model and Dynamic Time Wrap Techniques for Isolated Word in Speech Recognition,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.51123