Influence of Dolph-Chebyshev window on speech enhancement

Any audio speech processing done via manipulation of the short-time spectral amplitude requires transformation of the time-domain speech to the frequency domain. The spectrum can then be modified, and finally transformed back to the time domain. This process is done by windowing the speech signal. In this paper, the influence of Dolph-Chebyshev window is studied for the speech enhancement application. In order to investigate the effect and performance of the Dolph-Chebyshev window, a minimum mean-squared error (MMSE) amplitude estimator in the log-spectral domain was used as an algorithm for the speech enhancement. Evaluations were performed by a comparative study in terms of noise reduction and signal distortion.