Audio Compression Codec Using a Dynamic Gammachirp Psychoacoustic Model And a D.W.T Multiresolution Analysis
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 4
Abstract
Audio compression algorithms are used to obtain compact digital representations of high-fidelity audio signals for the purpose of efficient transmission over larger distances and storage. This paper presents an audio coder for real-time mutimedia applications. This coder applies a discrete wavelet transform to decompose audio test files into subbands to eliminate redundant data using spectral and temporal masking properties. This architecture is combined with a psychoacoustic model characterised by an external and middle ear model as a first part and a dynamic Gammachirp filter as a second part whose connections are selected in order to come close to the critical bands of the ear. Experimental results show the best performance of this architecture
Authors and Affiliations
Khalil Abid , Kais Ouni , Noureddine Ellouze
Keywords
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