A new model for speech compression

This thesis aims to propose a new low bit-rate speech compression method. In the proposed method, classical SYMPES (Systematic Procedure for Predefined Envelope and Signature Sequences) based predefined signature and envelope sequences are obtained using zero-cross and phoneme-based segmentation. Some disadvantages of the traditional SYMPES technique, like computational complexity, relatively long encoding times, and so on, are also reduced in the new version in order to obtain lower bit rates. The new approach significantly reduces the bit-rate and yields high compression ratios with more intelligible speech quality than that of the classical SYMPES approach. Furthermore, in comparison to other traditional techniques such as the CELP (Code Excited Linear Predictive) coding algorithm, experimental findings demonstrate that at almost the equal bit rates, extremely promising speech quality is produced.