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...

Full description

Saved in:
Bibliographic Details
Main Authors: Anton Batliner, Dino Seppi, Stefan Steidl, Björn Schuller
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Advances in Human-Computer Interaction
Online Access:http://dx.doi.org/10.1155/2010/782802
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832564785568284672
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
work_keys_str_mv AT antonbatliner segmentingintoadequateunitsforautomaticrecognitionofemotionrelatedepisodesaspeechbasedapproach
AT dinoseppi segmentingintoadequateunitsforautomaticrecognitionofemotionrelatedepisodesaspeechbasedapproach
AT stefansteidl segmentingintoadequateunitsforautomaticrecognitionofemotionrelatedepisodesaspeechbasedapproach
AT bjornschuller segmentingintoadequateunitsforautomaticrecognitionofemotionrelatedepisodesaspeechbasedapproach