Abstract
This paper presents a neural network approach for speech recognition in Tamil language. In the present work the structure of a speaker-independent system for isolated word recognition, based on a neural network paradigm combined with a dynamic programming algorithm is applied. The experimental results demonstrate that a hybrid model leads to higher recognition rates than the classic technologies.
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© 2004 Springer-Verlag Berlin Heidelberg
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Saraswathi, S., Geetha, T.V. (2004). Implementation of Tamil Speech Recognition System Using Neural Networks. In: Manandhar, S., Austin, J., Desai, U., Oyanagi, Y., Talukder, A.K. (eds) Applied Computing. AACC 2004. Lecture Notes in Computer Science, vol 3285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30176-9_22
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DOI: https://doi.org/10.1007/978-3-540-30176-9_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23659-7
Online ISBN: 978-3-540-30176-9
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