Batliner A, Seppi D, Steidl S, Schuller B (2010)
Publication Language: English
Publication Type: Journal article, Original article
Publication year: 2010
Original Authors: Batliner Anton, Seppi Dino, Steidl Stefan, Schuller Björn
Publisher: Hindawi Publishing Corporation
Book Volume: 2010
Article Number: 782802
URI: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Batliner10-SIA.pdf
DOI: 10.1155/2010/782802
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.
APA:
Batliner, A., Seppi, D., Steidl, S., & Schuller, B. (2010). Segmenting into adequate units for automatic recognition of emotion-related episodes: a speech-based approach. Advances in Human-Computer Interaction, 2010. https://doi.org/10.1155/2010/782802
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 2010 (2010).
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