Segmenting into adequate units for automatic recognition of emotion-related episodes: a speech-based approach

Batliner A, Seppi D, Steidl S, Schuller B (2010)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2010

Journal

Advances in Human-Computer Interaction Hindawi Publishing Corporation

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

Abstract

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.

Authors with CRIS profile

Anton Batliner Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Stefan Steidl Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Involved external institutions

Katholieke Universiteit Leuven (KUL) / Catholic University of Leuven BE Belgium (BE) Technische Universität München (TUM) DE Germany (DE)

How to cite

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://dx.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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