Wavelet packet transform for scalable audio encoder

Sheau Fang Lei, Hsi Fu Lee

研究成果: Conference contribution

摘要

This paper proposes a scalable audio encoder which integrates modified psychoacoustic model and embedded zerotree wavelet (EZW) algorithm based on wavelet packet transform. The performance of modern audio coding systems is strongly dependent on the psychoacoustic model to remove the irrelevant audio information. However, the traditional methods to analyze the psychoacoustic models based on Fast Fourier Transform (FFT) require considerable amount of computational load. The modified psychoacoustic model proposed in this paper is directly driven by wavelet packet transform rather than FFT. EZW is used for scalable coding that is also derived from wavelet packet transform. Compared to the other audio encoders such as: MPEG layer I and EZW algorithm without psychoacoustic model, the experimental results show that the proposed encoder has better perceptual sound quality and lower computational complexity at low bit rate coding.

原文English
主出版物標題APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
頁面239-242
頁數4
DOIs
出版狀態Published - 2006 12月 1
事件APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems - , Singapore
持續時間: 2006 12月 42006 12月 6

出版系列

名字IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Other

OtherAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
國家/地區Singapore
期間06-12-0406-12-06

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程

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