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Proceedings Paper

Text-independent speaker identification system based on adaptive wavelets
Author(s): Shubha L. Kadambe; Pramila Srinivasan
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Paper Abstract

In this paper, we describe a text-independent phoneme-based speaker identification system that uses adaptive wavelets to model the phonemes. This system identifies a speaker by modeling a very short segment of phonemes and then by clustering all the phonemes belonging to the same speaker into one class. The classification is achieved by using a two layer feed forward neural network classifier. The performance of this speaker identification system is demonstrated by considering the phonemes that were extracted from various sentences spoken by three speakers in the TIMIT acoustic-phonetic speech corpus.

Paper Details

Date Published: 15 March 1994
PDF: 9 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170066
Show Author Affiliations
Shubha L. Kadambe, AT&T Bell Labs. (United States)
Pramila Srinivasan, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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