Artificial Perception: Auditory Decomposition of Mixtures of Environmental Sounds - Combining Information Theoretical and Supervised Pattern Recognition Approaches

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03096149" target="_blank" >RIV/68407700:21230/04:03096149 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Artificial Perception: Auditory Decomposition of Mixtures of Environmental Sounds - Combining Information Theoretical and Supervised Pattern Recognition Approaches
Original language description
This paper deals with the new algorithm for the general audio classification which explores auditory scene analysis approach and has been inspired by the recent results in cognitive psychology and audition. This algorithm combines an information theoretical approach with the supervised pattern recognition models of environmental sounds, namely Hidden Markov Models; and with modern missing feature techniques. The investigated algorithm has been tested on the set of environmental sounds; increase in the classification accuracy of the selected environmental sound source in the mixtures of sounds corrupted by noise or by mixing process has been shown.
Czech name
Není k dispozici
Czech description
Není k dispozici

Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SOFSEM 2004: Theory and Practice of Computer Science, Lecture Notes in Computer Science
ISBN
3-540-20779-1
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
229-240
Publisher name
Springer
Place of publication
Berlin
Event location
Měřín
Event date
Jan 24, 2004
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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