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Asian Journal of Information Technology

ISSN: Online 1993-5994
ISSN: Print 1682-3915
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Integrating Language Independent Segmentation and Language Dependent Phoneme Based Modeling for Tamil Speech Recognition System

Saraswathi, S , T.V. Geetha and K. Saravanan
Page: 38-43 | Received 21 Sep 2022, Published online: 21 Sep 2022

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https://doi.org/10.36478/ajit.2006.38.43

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Abstract

This study describes the work done in performing speech recognition for Tamil language, using a new approach of text independent speech segmentation, with a phoneme based language modeling. A performance improvement in the recognition is possible by combining the results of segmented phoneme sequence with phoneme based language model. The results are promising since the method gives a 75.8% of correct segmentation and better word recognition rate for Tamil language.

How to cite this article:

Saraswathi, S , T.V. Geetha and K. Saravanan . Integrating Language Independent Segmentation and Language Dependent Phoneme Based Modeling for Tamil Speech Recognition System.
DOI: https://doi.org/10.36478/ajit.2006.38.43
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2006.38.43