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IJCAI
1997

A Music Stream Segregation System Based on Adaptive Multi-Agents

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A Music Stream Segregation System Based on Adaptive Multi-Agents
A principal problem of auditory scene analysis is stream segregation: decomposing an input acoustic signal into signals of individual sound sources included in the input. While existing signal processing algorithms cannot properly solve this inverse problem, a multiagent-based architecture has been considered to be a promising methodology in its modularity and scalability. However, most attempts made so far depend on subjectively defined rules to deal with variability of sounds. Here we propose a quantitatively principled architecture in agent interaction by formulating the problem as least-squares optimization. In this architecture, adaptation of the agents is the essential idea. We have developed two kinds of processing to realize adaptivity: template filtering and phase tracking. These mechanisms enable each agent to optimally, in the least-squares sense, track the individual sound. As an example application of the proposed architecture, we have built a music recognition system tha...
Kunio Kashino, Hiroshi Murase
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1997
Where IJCAI
Authors Kunio Kashino, Hiroshi Murase
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