Malayalam Isolated Digit Recognition using HMM and PLP cepstral coefficient

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Malayalam Isolated Digit Recognition using HMM and PLP cepstral coefficient

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dc.contributor.author Kannan, Balakrishnan
dc.contributor.author Cini, Kurian
dc.date.accessioned 2014-07-22T07:13:03Z
dc.date.available 2014-07-22T07:13:03Z
dc.date.issued 2011-10
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/4214
dc.description International Journal of Advanced Information Technology (IJAIT) Vol. 1, No.5, October 2011 en_US
dc.description.abstract Development of Malayalam speech recognition system is in its infancy stage; although many works have been done in other Indian languages. In this paper we present the first work on speaker independent Malayalam isolated speech recognizer based on PLP (Perceptual Linear Predictive) Cepstral Coefficient and Hidden Markov Model (HMM). The performance of the developed system has been evaluated with different number of states of HMM (Hidden Markov Model). The system is trained with 21 male and female speakers in the age group ranging from 19 to 41 years. The system obtained an accuracy of 99.5% with the unseen data en_US
dc.description.sponsorship Cochin University of Science & Technology en_US
dc.language.iso en en_US
dc.subject Speech Recognition en_US
dc.subject Malayalam en_US
dc.subject PLP en_US
dc.title Malayalam Isolated Digit Recognition using HMM and PLP cepstral coefficient en_US
dc.type Article en_US


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