Abstract
In this paper, a new method of feature extraction based on design of cubic spline wavelet has been described. Dialectal zone based speaker classification in Marathi language has been attempted in the open set mode using polynomial classifier. The method consists of dividing the speech signal into nonuniform subbands in approximate Mel-scale using an admissible wavelet packet filterbank and modeling each dialectal zone with the 2nd and 3rd order polynomial expansions of feature vector. Confusion matrices are also shown for different dialectal zones.
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Patil, H.A., Basu, T.K. (2006). Design of Cubic Spline Wavelet for Open Set Speaker Classification in Marathi. In: Huo, Q., Ma, B., Chng, ES., Li, H. (eds) Chinese Spoken Language Processing. ISCSLP 2006. Lecture Notes in Computer Science(), vol 4274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11939993_17
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DOI: https://doi.org/10.1007/11939993_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49665-6
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