Novel Approach of Implementing Psychoacoustic model for MPEG-1 Audio

Audio compression is the technology of converting audio signal into an efficiently encoded representation that can later be decoded to engender a close approximation of the pristine signal. In this work we are investigating implementation of psychoacoustics utilizing different wavelets to compress high quality audio signal and maintaining transparent quality at low bit rates Most psychoacoustic models for coding applications utilize a uniform spectral decomposition 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 the cochlear filters. For implementing this algorithm a design of psycho-acoustic model was developed following the model utilized in the standard MPEG-1 audio. The architecture is predicated on opportune Wavelet packet decomposition (DWPT) in lieu of Short Term Fourier Transformation (STFT) or FFT.