Nonlinear filtration of the spoken language signals

Lilia V. Kolchenko; Rustem B. Sinitsyn

doi:10.1117/12.838252

5 August 2009 Nonlinear filtration of the spoken language signals

Lilia V. Kolchenko, Rustem B. Sinitsyn

Proceedings Volume 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009; 75021K (2009) https://doi.org/10.1117/12.838252
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 2009, Wilga, Poland

Abstract

Work is devoted to important topic of acoustic signals processing in a pilot's cabin of aircraft in which the high noise level is observed. We have investigated heuristic approach of acoustic signal nonlinear filtration. First of all the kernel estimate of the cumulative distribution function was done. The signal was transformed using the estimate of the cumulative distribution function as a functional transform. Then measurements of acoustic signals' parameters and an estimation of their spectral density were done. The estimation was measured by means of fast Fourier transform procedure with use of window functions. At the second stage the new procedure of the adaptive filtration based on the Wiener frequency approach has been offered. The estimations of spectra received at the first stage have been thus used. Results are confirmed by experimental processing of spoken language signals.

Citation Download Citation

Lilia V. Kolchenko and Rustem B. Sinitsyn "Nonlinear filtration of the spoken language signals", Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75021K (5 August 2009); https://doi.org/10.1117/12.838252

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