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Isolated Kannada speech recognition using HTK—A detailed approach

Publisher : Advances in Intelligent Systems and Computing

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication, Mathematics

Year : 2018

Abstract : pThis paper aims to discuss the development of an isolated word recognizer for the Indian language Kannada. The word recognizer is built using HTK, which is based on HMM. The system is trained using triphone HMMs for Kannada words in open space environment from 10 speakers and tested using data from 4 speakers. This paper also gives a comparison of results between MFCC and LPCC techniques for four different test sets. © Springer Nature Singapore Pte Ltd. 2018./p

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