A Hybrid Coding with Adaptive Filters Using Non-uniform Technique in Speech Signals

This paper proposes a new hybrid method in non-uniform sampling coding that uses adaptive filters as like zero-crossing and correlation. In speech signals, the modified zero-crossing rate method refers to the number of times in which the signal crosses zero in frame, the rate is high in noisy parts but low in voiced signal or unvoiced signal. And the correlation is high in voiced signals, low in noise. Also the non-uniform sampling uses the peaks and valleys, we consider that peaks and valleys is high in correlation. The method proposed in this paper uses the number of peaks and valleys in determining the threshold values of voiced, unvoiced signal and noise. Therefore, by decreasing the number of samples from sections with noise and voiceless sounds which have a high number of peaks and valleys, and by creating a signal that has little effect on the recognized signals, we may get higher compression rates. KeywordWaveform coding, non-uniform Sampling, Peak and Valley, Adaptive filter, Zero-crossing