论文信息 - Analysis of Masking Energy for PEAQ Model using Lifting Technique

Analysis of Masking Energy for PEAQ Model using Lifting Technique

Audio compression is the lossy compression technique of converting audio signal into an efficiently encoded bitstream that can be decoded to produce a close approximation of the original signal. For the purpose of improving the coding this work attempts to combine psychoacoustic model for perceptual evaluation of audio quality (PEAQ) in BS.1387 with perceptual audio coder. The implementation of this new psychoacoustic model is done using wavelet lifting method instead of FFT; Later the computation of the masking energy for the different bands will be done.

B. Siva Kumar | Jagadeesh B. Kanade | M D Nandeesh | B. Kumar | M. Nandeesh

[1] C. Burrus,et al. Introduction to Wavelets and Wavelet Transforms: A Primer , 1997 .

[2] Andrzej Drygajlo,et al. Perceptual speech coding and enhancement using frame-synchronized fast wavelet packet transform algorithms , 1999, IEEE Trans. Signal Process..

[3] B Siva Kumar. Analysis of PEAQ Model using Wavelet Decomposition Techniques , 2014 .

[4] B. Kumar,et al. PEAQ based Psychoacoustic Model Implementation using Wavelet Packet Decomposition , 2014 .

[5] Hugo Fastl,et al. Psychoacoustics Facts and Models. 2nd updated edition , 1999 .

[6] E. Zwicker,et al. Das Ohr als Nachrichtenempfänger , 1967 .

[7] M. Victor Wickerhauser,et al. Adapted wavelet analysis from theory to software , 1994 .

[8] Manuel Rosa-Zurera,et al. A new algorithm for translating psycho-acoustic information to the wavelet domain , 2001, Signal Processing.

[9] Bo Lincoln. An Experimental High Fidelity Perceptual Audio Coder , 1998 .

[11] Deepen Sinha,et al. Low bit rate transparent audio compression using adapted wavelets , 1993, IEEE Trans. Signal Process..

[12] A. Spanias,et al. Perceptual coding of digital audio , 2000, Proceedings of the IEEE.

[13] Edward Jones,et al. Audio quality assessment techniques - A review, and recent developments , 2009, Signal Process..

[14] Hugo Fastl,et al. Psychoacoustics: Facts and Models , 1990 .