Paper Info
Title
Auditory stream segregation in auditory scene analysis with a multi-agent system
Abstract
We propose a novel approach to auditory stream segregation which extracts individual sounds (au- ditory stream) from a mixture of sounds in audi- tory scene analysis. The HBSS (Harmonic-Based Stream Segregation) system is designed and devel- oped by employing a multi-agent system. HBSS uses only harmonics as a clue to segregation and extracts auditory streams incrementally. When the tracer-generator agent detects a new sound, it spawns a tracer agent, which extracts an au- ditory stream by tracing its harmonic structure. The tracer sends a feedforward signal so that the generator and other tracers should not work on the same stream that is being traced. The qual- ity of segregation may be poor due to redun- dant and ghost tracers. HBSS copes with this problem by introducing monitor agents, which detect and eliminate redundant and ghost trac- ers. HBSS can segregate two streams from a mix- ture of man's and woman's speech. It is easy to resynthesize speech or sounds from the cor- responding streams. Additionally, HBSS can be easily extended by adding agents of a new capa- bility. HBSS can be considered as the first step to computational auditory scene analysis.
Year
Venue
Keywords
1994
AAAI
auditory scene analysis,multi-agent system,auditory stream segregation,computational auditory scene analysis,multi agent system
Field
DocType
ISBN
Computer vision,Auditory scene analysis,Computer science,Harmonic structure,Multi-agent system,Speech recognition,Artificial intelligence,Tracing,Computational auditory scene analysis,Feed forward
Conference
0-262-61102-3
Citations 
PageRank 
References 
17
5.59
3
Authors
3
Name
Order
Citations
PageRank
Tomohiro Nakatani11327139.18
Hiroshi G. Okuno22092233.19
Takeshi Kawabata329651.73