Analysis of PEAQ Model using Wavelet Decomposition Techniques

Abstract — Digital broadcasting, internet audio and music database make use of audio compression and coding techniques to reduce high quality audio signal without impairing its perceptual quality. Audio signal compression is the lossy compression technique, It converts original converting audio signal into compressed bitstream. The compressed audio bitstream is decoded at the decoder to produce a close approximation of the original signal. For the purpose of improving the coding this work attempts to verify the perceptual evaluation of audio quality (PEAQ) model in BS.1387 using wavelet decomposition techniques. Finally the comparison of masking threshold for sub-bands using Wavelet techniques and Fast Fourier transform (FFT) will be done