A Wavelet Auditory Model and Data Compression

Abstract A time-scale representation of (acoustic) signals, motivated by the structure of the mammalian auditory system, is presented. Drawing from the theory of irregular sampling and frames, a theoretical framework is developed in which an iterative algorithm for reconstruction is constructed. Numerical examples are included which illustrate the validity of such a representation as a new and effective method to deal with speech compression problems.