Analysis of High-level Features for Vocal Emotion Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU95202" target="_blank" >RIV/00216305:26220/11:PU95202 - 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
Analysis of High-level Features for Vocal Emotion Recognition
Original language description
The paper deals with the vocal emotion recognition which is a very important task for several applications in the field of human-machine interaction. There is a plenty of algorithms proposed up to date for this purpose that exploit different types of features and classifiers. Our previous work showed that high-level features perform very well in terms of emotion classification from speech. However, little attention has been paid so far to the statistical analysis of these features. For this reason the presented paper mainly focuses on the emotion recognition by using only high-level features. Two different emotional speech corpora were exploited in our experiments, namely the Berlin Database of Emotional Speech and the COST2102 Italian Database of Emotional Speech. Results showed that the best high-level features in terms of high discriminative power strongly differ among the databases considered on the first hand and among the emotions within each database on the second hand.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI1%2F481" target="_blank" >FR-TI1/481: Advanced speech analyses technology for call centers and security services.</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
34th International Conference on Telecommunications and Signal Processing
ISBN
978-1-4577-1409-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
361-366
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Budapest
Event date
Aug 18, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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