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Proceedings Paper

Low bit rate speech coder based on Gaussian adaptive wavelets
Author(s): Shubha L. Kadambe; Pramila Srinivasan
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Paper Abstract

A low bit rate speech coder based on Gaussian adaptive wavelets is described. This speech coder ameliorates the problem of using two different mother wavelets to model voiced and unvoiced sounds. In addition, it has been demonstrated in this paper that Gaussian adaptive wavelets are better suited to model both voiced and unvoiced sounds as compared to Morlet and Daubechies' wavelets. The bit rate and speech quality of this speech coder is compared with the speech coder based on Morlet wavelet. Experimental results using TIMIT speech database are discussed with examples.

Paper Details

Date Published: 6 April 1995
PDF: 12 pages
Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205412
Show Author Affiliations
Shubha L. Kadambe, Atlantic Aerospace Electronics Corp. (United States)
Pramila Srinivasan, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 2491:
Wavelet Applications II
Harold H. Szu, Editor(s)

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