The Improvement of Wavelet Packet for Psychoacoustic Model

Abstract:

Compared with common psychoacoustic model, this article uses wavelet packet decomposition to decompose a signal. This method improves the situation of insufficient time-frequency resolution which the uniform spectrum analysis causes. In addition, frequency division by wavelet packet decomposition is much closer to human’s critical band than the way common psychoacoustic model getting, it is more suitable to human’s hearing characteristics. So we can use wavelet packet decomposition replace FFT in MPEG, and get accurate psychoacoustic model.

• Periodical: Advanced Materials Research (Volumes 591-593)
• Pages: 2491-2494
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.591-593.2491
• Online since: November 2012
• Authors: Jing Lei Zhou, Ying Li
• Keywords: Psychoacoustic Model, Time-Frequency Analysis, Wavelet Packet Decomposition

References

[1] T. Chen: Optimization of audio coding algorithm of MPEG-4 ACC (MS, Central South University, China 2008),p.3 (In Chinese).

[2] P.T. Spanias: Proceeding of IEEE, Vol. 88 (2000) No.4,p.451.

[3] ISO /11172, MPEG-1standard[S].

[4] Z.H. Guo and L Ren: Communication technology, Vol. 42 (2009) No.9, p.159. (In Chinese)

[5] H.L. Cai: The study of CNG technology based on masking effect (MS, Dlian University of Technology, China 2008).p.32 (In Chinese).