Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach
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 ch...
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Format: | Article |
Language: | English |
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Wiley
2010-01-01
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Series: | Advances in Human-Computer Interaction |
Online Access: | http://dx.doi.org/10.1155/2010/782802 |
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author | Anton Batliner Dino Seppi Stefan Steidl Björn Schuller |
author_facet | Anton Batliner Dino Seppi Stefan Steidl Björn Schuller |
author_sort | Anton Batliner |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-e5b3c10b452a457bbc5863b15540e313 |
institution | Kabale University |
issn | 1687-5893 1687-5907 |
language | English |
publishDate | 2010-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Human-Computer Interaction |
spelling | doaj-art-e5b3c10b452a457bbc5863b15540e3132025-02-03T01:10:18ZengWileyAdvances in Human-Computer Interaction1687-58931687-59072010-01-01201010.1155/2010/782802782802Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based ApproachAnton Batliner0Dino Seppi1Stefan Steidl2Björn Schuller3Pattern Recognition Laboratory, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), D-91058 Erlangen, GermanyESAT, Katholieke Universiteit Leuven, B-3001 Leuven, BelgiumPattern Recognition Laboratory, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), D-91058 Erlangen, GermanyInstitute for Human-Machine Communication, Technische Universität München (TUM), D-80333 Munich, GermanyWe 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.http://dx.doi.org/10.1155/2010/782802 |
spellingShingle | Anton Batliner Dino Seppi Stefan Steidl Björn Schuller Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach Advances in Human-Computer Interaction |
title | Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach |
title_full | Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach |
title_fullStr | Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach |
title_full_unstemmed | Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach |
title_short | Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach |
title_sort | segmenting into adequate units for automatic recognition of emotion related episodes a speech based approach |
url | http://dx.doi.org/10.1155/2010/782802 |
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