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Proceedings Paper

Variability problem solving in speech recognition based on nonlinear filtering
Author(s): Alexander M. Krot; Polina P. Tkachova
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Paper Abstract

In the present paper method of nonlinear system identification are proposed for constructing adaptive nonlinear model of auditory filter. This paper develops a effective digital identification method of the nonlinear system modeling filtering processes in distal auditory system for solving the problem of variability in speech signal recognition.

Paper Details

Date Published: 27 July 1999
PDF: 11 pages
Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); doi: 10.1117/12.357184
Show Author Affiliations
Alexander M. Krot, Institute of Engineering Cybernetics (Belarus)
Polina P. Tkachova, Belarusian State Univ. (Belarus)

Published in SPIE Proceedings Vol. 3720:
Signal Processing, Sensor Fusion, and Target Recognition VIII
Ivan Kadar, Editor(s)

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