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Abstract: In this paper we describe an online speech recognition system for Tamil for tasks involving a small vocabulary (10-100 words). Two tasks are considered for illustration, namely, TV control (17 words) and banking application (61 words). The recognition system is based on Hidden Markov Models (HMM) and is implemented using Entropic's HMM toolkit. (Update)
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BibTeX entry: (Update)
@misc{ khan-development,
author = "A. Nayeemulla Khan and B. Yegnanarayana",
title = "Development Of A Speech Recognition System For Tamil For Restricted Small
Tasks",
url = "citeseer.ist.psu.edu/439654.html" }
Citations (may not include all citations):653 Fundamentals of Speech Recognition (context) - Rabiner, Juang - 1993
169 Discrete-Time Processing of Speech Signals (context) - Jr, Proakis et al. - 1993
1 New Jersy: Entropic (context) - Young, Kershaw et al. - 1999
1 Description: ITRANS - Indian Language Transliteration Packag.. (context) - Indian, Package et al.
1 Description: Phonemic transcriptions of over (context) - transcriptions, English et al.
1 by Entropic (context) - is, for et al.
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