Connected digit speech recognition system for Malayalam language

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Connected digit speech recognition system for Malayalam language

Show simple item record Kannan, Balakrishnan Cini, Kurian 2014-07-22T09:38:57Z 2014-07-22T09:38:57Z 2013-12
dc.description Sadhana Vol. 38, Part 6, December 2013, pp. 1339–1346 en_US
dc.description.abstract A connected digit speech recognition is important in many applications such as automated banking system, catalogue-dialing, automatic data entry, automated banking system, etc. This paper presents an optimum speaker-independent connected digit recognizer forMalayalam language. The system employs Perceptual Linear Predictive (PLP) cepstral coefficient for speech parameterization and continuous density Hidden Markov Model (HMM) in the recognition process. Viterbi algorithm is used for decoding. The training data base has the utterance of 21 speakers from the age group of 20 to 40 years and the sound is recorded in the normal office environment where each speaker is asked to read 20 set of continuous digits. 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.publisher Indian Academy of Sciences en_US
dc.subject Malayalam speech recognition en_US
dc.subject perceptual linear predictive (PLP). en_US
dc.title Connected digit speech recognition system for Malayalam language en_US
dc.type Article en_US

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