Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes : A Speech-Based Approach
Joint Authors
Schuller, Björn
Steidl, Stefan
Batliner, Anton
Seppi, Dino
Source
Advances in Human-Computer Interaction
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-03-18
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
We deal with the topic of segmenting emotion-related (emotional/affective) episodes into adequate units for analysis and automatic processing/classification—a topic that has not been addressed adequately so far.
We concentrate on speech and illustrate promising approaches by using a database with children's emotional speech.
We argue in favour of the word as basic unit and map sequences of words on both syntactic and ‘‘emotionally consistent” chunks and report classification performances for an exhaustive modelling of our data by mapping word-based paralinguistic emotion labels onto three classes representing valence (positive, neutral, negative), and onto a fourth rest (garbage) class.
American Psychological Association (APA)
Batliner, Anton& Seppi, Dino& Steidl, Stefan& Schuller, Björn. 2010. Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes : A Speech-Based Approach. Advances in Human-Computer Interaction،Vol. 2010, no. 2010, pp.1-15.
https://search.emarefa.net/detail/BIM-497659
Modern Language Association (MLA)
Batliner, Anton…[et al.]. Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes : A Speech-Based Approach. Advances in Human-Computer Interaction No. 2010 (2010), pp.1-15.
https://search.emarefa.net/detail/BIM-497659
American Medical Association (AMA)
Batliner, Anton& Seppi, Dino& Steidl, Stefan& Schuller, Björn. Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes : A Speech-Based Approach. Advances in Human-Computer Interaction. 2010. Vol. 2010, no. 2010, pp.1-15.
https://search.emarefa.net/detail/BIM-497659
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497659