DocumentCode :
3144187
Title :
Automatic recognition of emotion evoked by general sound events
Author :
Schuller, Björn ; Hantke, Simone ; Weninger, Felix ; Han, Wenjing ; Zhang, Zixing ; Narayanan, Shrikanth
Author_Institution :
Inst. for Human-Machine Commun., Tech. Univ. Munchen, München, Germany
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
341
Lastpage :
344
Abstract :
Without a doubt there is emotion in sound. So far, however, research efforts have focused on emotion in speech and music despite many applications in emotion-sensitive sound retrieval. This paper is an attempt at automatic emotion recognition of general sounds. We selected sound clips from different areas of the daily human environment and model them using the increasingly popular dimensional approach in the emotional arousal and valence space. To establish a reliable ground truth, we compare mean and median of four annotators with their evaluator weighted estimator. We discuss human labelers´ consistency, feature relevance, and automatic regression. Results reach correlation coefficients of .61 (arousal) and .49 (valence).
Keywords :
audio signal processing; emotion recognition; regression analysis; automatic emotion recognition; automatic regression; emotion sensitive sound retrieval; feature relevance; general sound event; human environment; Correlation; Databases; Emotion recognition; Humans; Speech; Speech recognition; Standards; Affective Computing; Feature Relevance; Sound Database; Sound Emotion Recognition; Sound Event Classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6287886
Filename :
6287886
Link To Document :
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