Comparison of Syllable and Phoneme Modelling of Agglutinative Tamil Isolated Words in Speech Recognition
Aim: In this paper, the emphasis was on improving the automatic speech recognition of Tamil speech by applying syllable and phoneme as a sub-word unit. Agglutinative complex words in Tamil are described by showing their element in the building of the sub-word such as the syllable and the phonemes. This present study used the Hidden Markov Model (HMM) based speech recognition system that was created using CMU Sphinx speech recognition toolkit. An effective consonant-vowel six-segment (CVS-6) algorithm was designed to syllabification of the Tamil
Paper
Full text
Comparison of Syllable and Phoneme Modelling of Agglutinative Tamil Isolated Words in Speech Recognition
Semantic Scholar · Computer Science · 2018
Abstract
Aim: In this paper, the emphasis was on improving the automatic speech recognition of Tamil speech by applying syllable and phoneme as a sub-word unit. Agglutinative complex words in Tamil are described by showing their element in the building of the sub-word such as the syllable and the phonemes. This present study used the Hidden Markov Model (HMM) based speech recognition system that was created using CMU Sphinx speech recognition toolkit. An effective consonant-vowel six-segment (CVS-6) algorithm was designed to syllabification of the Tamil