Wideband audio compression using wrapped linear prediction and the discrete wavelet transform

Author

Deriche, Mohamed ; Ning, Daryl

Author_Institution

Dept. of Electr. Eng., King Fahd Univ. of Pet. & Minerals, Dhahran, Saudi Arabia

Volume

3

fYear

2004

fDate

23-26 May 2004

Abstract

In this paper, an audio coder using the discrete wavelet transform (DWT) and a warped linear prediction (WP) model, is proposed. In contrast to conventional LP, WLP allows for the control of frequency resolution closely match the response of the human auditory system. The residual from the inverse WLP filtering is analyzed by a wavelet filterband designed to approximate the critical bands. For monophonic signals sampled at 44.1 KHz, the coder achieves near transparent quality at an average bit-rate of 64Kb/s.

Keywords

audio coding; codecs; data compression; discrete wavelet transforms; linear predictive coding; 44.1 KHz; 64 Kbit/s; audio coder; critical bands; discrete wavelet transform; frequency resolution control; human auditory system; inverse WLP filtering; monophonic signals; wavelet filterband; wideband audio compression; wrapped linear prediction; Audio compression; Auditory system; Control systems; Discrete wavelet transforms; Filtering; Frequency; Humans; Predictive models; Signal resolution; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on

Print_ISBN

0-7803-8251-X

Type

conf

DOI

10.1109/ISCAS.2004.1328835

Filename

1328835