28-10-2010, 04:54 PM
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Audio Compression Using a Munich and Cambridge Morlet Wavelet
khalil Abid and Kais Ouni
Laboratory of Systems and Signal Processing (LSTS)
National Engineering School of Tunis
ENIT, BP 37, Le Belv´ed`ere 1002, Tunis, Tunisia
Abstract—
Most psycho-acoustic models for coding applications
use a uniform (equal bandwidth) spectral decomposition
as a first step to approximate the frequency selectivity of the
human auditory system. However, the equal filter properties
of the uniform sub- bands do not match the non uniform
characteristics of cochlear filters and reduce the precision of
psycho-acoustic modelling. 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 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 Morlet
Munich coder
