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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  • EP ID EP155301
  • DOI -
  • Views 135
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How To Cite

Khalil Abid, Kais Ouni, Noureddine Ellouze (2010). Audio Compression Codec Using a Dynamic Gammachirp Psychoacoustic Model And a D.W.T Multiresolution Analysis. International Journal on Computer Science and Engineering, 2(4), 1340-1354. https://europub.co.uk/articles/-A-155301