A fast, efficient and scalable algorithm for perceptual high quality speech coding

Author

Ghahabi, Omid ; Savoji, M.H.

Author_Institution

Dept. of Electr. & Comput. Eng., Shahid Beheshti Univ., Tehran, Iran

fYear

2010

fDate

24-28 Oct. 2010

Firstpage

462

Lastpage

465

Abstract

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 well-known 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.

Keywords

quantisation (signal); speech coding; wavelet transforms; AVDZ algorithm; adaptive variable degree-k zero-tree; embedded zero-tree wavelet; high quality wideband speech; perceptual high quality speech coding; perceptually quantized wavelet packet transform coefficient; reencoding; set partitioning in hierarchical trees; Algorithm design and analysis; Image coding; Signal processing algorithms; Speech; Speech coding; Wavelet transforms; EZW; SPIHT; perceptual speech coding; zero-tree;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2010 IEEE 10th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-5897-4

Type

conf

DOI

10.1109/ICOSP.2010.5655182

Filename

5655182