A blackboard architecture for computational auditory scene analysis

A challenging problem for research in computational auditory scene analysis is the integration of evidence derived from multiple grouping principles. We describe a computational model which addresses this issue through the use of a `blackboard' architecture. The model integrates evidence from m...

Full description

Saved in:
Bibliographic Details
Published in:Speech communication 1999, Vol.27 (3-4), p.351-366
Main Authors: Godsmark, Darryl, Brown, Guy J.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Audition
Auditory scene analysis
Blackboard
Computer architecture
Computer model
Computer science
control theory
systems
Exact sciences and technology
Expert systems
Heuristic methods
Knowledge representation
Mathematical models
Sound recording
Speech and sound recognition and synthesis. Linguistics
Speech processing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A challenging problem for research in computational auditory scene analysis is the integration of evidence derived from multiple grouping principles. We describe a computational model which addresses this issue through the use of a `blackboard' architecture. The model integrates evidence from multiple grouping principles at several levels of abstraction, and manages competition between principles in a manner that is consistent with psychophysical findings. In addition, the blackboard architecture allows heuristic knowledge to influence the organisation of an auditory scene. We demonstrate that the model can replicate listeners' perception of interleaved melodies, and is also able to segregate melodic lines from polyphonic, multi-timbral audio recordings. The applicability of the blackboard architecture to speech processing tasks is also discussed.
ISSN:0167-6393
1872-7182
DOI:10.1016/S0167-6393(98)00082-X