Development & evaluation of different acoustic models for Malayalam continuous speech recognition | Zendy

Cini Kurian | Zendy; Kannan Balakrishnan | Zendy

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Development & evaluation of different acoustic models for Malayalam continuous speech recognition

Author(s) -

Cini Kurian,

Kannan Balakrishnan

Publication year - 2012

Publication title -

procedia engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.32

H-Index - 74

ISSN - 1877-7058

DOI - 10.1016/j.proeng.2012.01.966

Subject(s) - speech recognition , computer science , malayalam , context (archaeology) , utterance , acoustic model , hidden markov model , word (group theory) , perspective (graphical) , natural language processing , artificial intelligence , speech processing , mathematics , paleontology , geometry , biology

Performance of any continuous speech recognition system is dependent on the accuracy of its acoustic model. Hence, preparation of a robust and accurate acoustic model lead to satisfactory recognition performance for a speech recognizer. In acoustic modeling of phonetic unit, context information is of prime importance as the phonemes are found to vary according to the place of occurrence in a word. In this paper we compare and evaluate the effect of context dependent tied (CD tied) models, context dependent (CD) and context independent (CI) models in the perspective of continuous speech recognition of Malayalam language. The database for the speech recognition system has utterance from 21 speakers including 11 female and 10 males. Our evaluation results show that CD tied models outperforms CI models over 21%

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