Audio compression using a filter ear model and a Gammachirp wavelet

In this paper we present a new design of a psycho-acoustic model for audio coding following the model used in the standard MPEG-1 audio layer 3. This architecture is based on the combined external and middle ear model and on the appropriate wavelet packet decomposition instead of a short term Fourier transformation. Its important characteristic is to propose an analysis of the frequency bands that come closer to the critical bands of the ear. This study shows the best performance of the Gammachirp coder.