Basic Characteristics of Speech Signal Analysis

Speech signal include several fundamental characteristics and it is divided into two types of features such as time-domain speech signal features and frequency domain signal features which is mainly used for segmenting speech signals. Three important characteristics of speech signal is short time zero crossing, energy and auto correlation. The short time energy and short time zero crossing rates are important properties for detecting the end point of a speech signal analysis. Especially these two properties are used in voiced and unvoiced segmentation and classification.