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Auditory Modeling Via Frequency Warped Transforms
The goal of this paper is to show and compare four different versions auditory modeling based on frequency warped transforms: bark-scaled wavelet packet decomposition, bark-scaled adapted wavelet packet decomposition, warped discrete Fourier transform and four-band wavelets paraunitary filter bank, useful for perceptual audio coding, speech enhancement and parametric audio coding matching pursuit procedure based on the psychoacoustic optimized wavelet packet dictionary. A practical implementations of the audio signal processing based on the given auditory modeling approaches are in details considered and analyzed from positions: depth of a compression, perceptual perception, a structural realizability, an opportunity to build an embedded systems.
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