By Topic

Re-encoding of perceptually quantized wavelet packet transform coefficients of audio and high quality speech

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ghahabi, O. ; Dept. of Electr. & Comput. Eng., Shahid Beheshti Univ., Tehran, Iran ; Savoji, M.H.

This paper reports on the results of four re-encoding schemes on perceptually quantized wavelet packet transform (WPT) coefficients of audio and high quality speech. These schemes comprises: 1- embedded zero-tree wavelet (EZW) 2- The set partitioning in hierarchical trees (SPIHT) 3-JPEG-based entropy/run length Huffman and 4-JPEG-type audio Huffman coding algorithms. Since EZW and SPIHT are designed for image compression, some new modifications have been implemented in these schemes for their better matching with audio signals. The performances of these four re-encoders are compared in terms of average output bit rate and computation time of a same codec. It is concluded that the JPEG-type audio huffman coding achieves the best results although it is not possible to truncate the bit stream, in this case, to easily match the bit rate to the fixed channel capacity.

Published in:

Digital Signal Processing, 2009 16th International Conference on

Date of Conference:

5-7 July 2009