Noise Speech wavelet analyzing in special time ranges

TL;DR

This paper introduces a method for analyzing noise speech signals near zero amplitude using wavelet analysis, focusing on specific time ranges to improve speech signal processing.

Contribution

The paper proposes a novel approach to analyze noise speech signals near zero using subfunctions and histogram compression, enhancing wavelet-based speech analysis.

Findings

Effective analysis of noise speech near zero amplitude.

Improved wavelet signal processing techniques.

Potential benefits for spoken systems analysis.

Abstract

Speech analyzing in special periods of time has been presented in this paper. One of the most important periods in signal processing is near to Zero. By this paper, we analyze noise speech signals when these signals are near to Zero. Our strategy is defining some subfunctions and compress histograms when a noise speech signal is in a special period. It can be so useful for wavelet signal processing and spoken systems analyzing.