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Convention Paper

Auditory Component Analysis

Authors: Boley, Jon

AES Convention 121 · Paper 6925 · October 2006

Abstract

Two of the principle research areas currently being evaluated for the so-called sound source separation problem are Auditory Scene Analysis and a class of statistical analysis techniques known as Independent Component Analysis. This paper presents a methodology for combining these two techniques. It suggests a framework that first separates sounds by analyzing the incoming audio for patterns and synthesizing or filtering them accordingly. It then measures features of the resulting tracks and separates the sounds statistically by matching feature sets and attempting to make the output streams statistically independent. The proposed system is found to successfully separate artificial and acoustic mixes of sounds. As expected, the amount of separation is inversely proportional to the amount of reverberation present, number of sources, and interchannel correlation.

Details

Published in
AES Convention 121
AES Convention
121
Paper number
6925
Publication date
October 6, 2006
Session subject
Signal Processing
Affiliation
Music Engineering Department, University of Miami (See document for exact affiliation information.)
Type
Convention Paper