Musical Form Retrieval
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F10%3A00169909" target="_blank" >RIV/62156489:43110/10:00169909 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Musical Form Retrieval
Original language description
This paper describes the way how the Musical Form is retrieved from sound recording, using the Signal Processing and Artificial Neural Networks methods. It is important to choose appropriate signal characteristics, which creates feature vector describingthe recording. Described recordings are clustered with Self-organizing maps. Limits of this approach are considered and possibilities of more complex structural recognition methods and semi-supervised learning utilisation are proposed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MENDEL 2010, 16th International Conference on Soft Computing
ISBN
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ISSN
1803-3814
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
288144100038