A Fast, Efficient and Scalable Algorithm for Perceptual High Quality Speech Coding
In this paper an adaptive variable degree-k zero-tree (AVDZ) algorithm is proposed for re-encoding of perceptually quantized wavelet packet transform coefficients of high quality wideband speech. Its performance is compared with two wellknown schemes comprising: 1-Embedded Zero-tree Wavelet (EZW) and 2-The set partitioning in hierarchical trees (SPIHT). This comparison is carried out using the speech modified versions of these schemes. It is shown that the proposed AVDZ algorithm outperforms these methods by about 6-10％ in coding efficiency and respectively 50％ and 35％ (on average) in total computation times.
EZW SPIHT zero-tree perceptual speech coding
Omid Ghahabi M.H.Savoji
Department of Electrical and Computer Engineering, Shahid Beheshti University Evin Sq., 1983963113, Department of Electrical and Computer Engineering, Shahid Beheshti University Evin Sq., 1983963113,
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
462-465
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）