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Please use this identifier to cite or link to this item: http://purl.org/purl/4214

Title: Malayalam Isolated Digit Recognition using HMM and PLP cepstral coefficient
Authors: Kannan, Balakrishnan
Cini, Kurian
Keywords: Speech Recognition
Malayalam
PLP
Issue Date: Oct-2011
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
Description: International Journal of Advanced Information Technology (IJAIT) Vol. 1, No.5, October 2011
URI: http://dyuthi.cusat.ac.in/purl/4214
Appears in Collections:Dr. Kannan Balakrishnan

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