A Method of Coding LSP Residual Signals Using Wavelets for Speech Synthesis

摘要

This paper presents a method of using wavelet analysis for speech coding and synthesis by rule. It is a coding system where LSP residual signal is transformed into wavelet coefficients. As wavelet analysis is implemented effectively by filter banks, our method requires less computation than multipulse coding and others where complicated prediction procedures are essential. To achieve good-quality speech at low bit rates, we verified allocation of different bits onto the wavelet coefficients., with more bits in lower frequencies, and less in higher. The synthesized speech by Haar wavelet with 16.538 kbit/s has nearly the same perceptual quality with 6 bits μlog PCM (66.15 kbit/s). We are convinced that the coding method of LSP residual signals using wavelet analysis is an effective approach to synthesize speech.