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ReserarchID
CSTSDE4OZ6E
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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The main aim of work is to develop morlet wavelet using Munich and Cambridge filters, for audio compression and most psycho-acoustic models for coding applications use a uniform -equal bandwidth, spectral decomposition for compression. 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. To fulfill this aim, the following objectives are carried out: 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 modeling. This architecture is based on appropriate wavelet packet decomposition instead of a short term Fourier transformation. In this paper Morlet Munich coder shows best performance. The MPEG/Audio is a standard for both transmitting and recording compressed ratio. The MPEG algorithm achieves compression by exploiting the perceptual limitation of the human ear.
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