Improved low bit-rate audio compression using reduced rank ICA instead of psychoacoustic modeling

Adiel Ben-Shalom, Michael Werman, Shlomo Dubnov

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations

Abstract

Traditional audio coding is based on a perceptual compression paradigm that exploits psychoacoustic information to efficiently encode audio signals. Recently, extensive research has been conducted in order to understand how the brain encodes natural signals. These results suggest that the encoding process is very efficient in terms of redundancy reduction of the signal information. It could be that the psychoacoustic effects (such as the masking effect) are only a special case of a more general redundancy reduction mechanism that exists in the auditory pathway. Motivated by this work we propose a new audio coding scheme that is based on improved sound representation found by Independent Component Analysis. Using a local linear, low rank, non-orthogonal transform, we remove additional redundancies in the signal. At low bitrates this coding scheme gives results superior to a legacy perceptual encoding scheme for different kinds of audio signals.

Original languageEnglish
Pages (from-to)461-464
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
StatePublished - 25 Sep 2003
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: 6 Apr 200310 Apr 2003

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Improved low bit-rate audio compression using reduced rank ICA instead of psychoacoustic modeling'. Together they form a unique fingerprint.

Cite this