Transitional speech segments modeling by matching pursuit with a dictionary based on the psychoacoustic adaptive WP

摘要

In this paper transitional speech segments modeling by matching pursuit is proposed. The dictionary for matching pursuit is composed of wavelet functions that implement of psychoacoustic adaptive wavelet filter bank. Psychoacoustically motivated entropy based cost functions allow to greatly minimizing a number of time-frequency atoms in wavelet packet (WP) dictionary. The given transient modeling method is suitable to be integrated into a parametric speech coder or concatenate speech synthesis based on the three-part model of sinusoidal, transients and noise.