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Dyuthi @ CUSAT >
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Computer Applications >
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Dr. Kannan Balakrishnan >
Please use this identifier to cite or link to this item:
http://purl.org/purl/4232
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| Title: | A Comparative study of HMM and SVM in Malayalam Digit Recognition |
| Authors: | Kannan, Balakrishnan
Harsha, K M
Facila Chinchu, O
Cini, Kurian |
| Keywords: | SVM (Support Vector Machine)
HMM (Hidden Markov Model)
MFCC (Mel Frequency CepstralCoefficients)
Speech Recognition |
| Issue Date: | 9-Feb-2013 |
| Abstract: | A primary medium for the human beings to communicate through language is Speech. Automatic Speech Recognition is wide spread today. Recognizing single digits is vital to a number of applications such as voice dialling of telephone numbers, automatic data entry, credit card entry, PIN (personal identification number) entry, entry of access codes for transactions, etc. In this paper we present a comparative study of SVM (Support Vector Machine) and HMM (Hidden Markov Model) to recognize and identify the digits used in Malayalam speech. |
| URI: | http://dyuthi.cusat.ac.in/purl/4232 |
| Appears in Collections: | Dr. Kannan Balakrishnan
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