Variability problem solving in speech recognition based on nonlinear filtering

Alexander M. Krot; Polina P. Tkachova

doi:10.1117/12.357184

27 July 1999 Variability problem solving in speech recognition based on nonlinear filtering

Alexander M. Krot, Polina P. Tkachova

Proceedings Volume 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII; (1999) https://doi.org/10.1117/12.357184
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Alexander M. Krot and Polina P. Tkachova "Variability problem solving in speech recognition based on nonlinear filtering", Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); https://doi.org/10.1117/12.357184

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