Summary of the paper

Title Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion
Authors Stefan Scherer, Ingo Siegert, Lutz Bigalke and Sascha Meudt
Abstract A lot of research effort has been spent on the development of emotion theoriesand modeling,however, their suitability and applicability to expressions in human computerinteraction has not exhaustively been evaluated. Furthermore, investigationsconcerning the ability of the annotators to map certain expressions onto thedeveloped emotion models is lacking proof. The proposed annotation tool, whichincorporates the standard Geneva Emotional Wheel developed by Klaus Scherer anda novel temporalcharacteristic description feature, is aiming towards enabling the annotator tolabel expressions recorded in human computer interaction scenarios on anutterance level. Further, it is respecting key features of realistic andnatural emotionalexpressions, such as their sequentiality, temporal characteristics, their mixedoccurrences, and their expressivity or clarity of perception. Additionally,first steps towards evaluating the proposed tool, by analyzing utteranceannotations taken from two expressive speech corpora, are undertaken and somefuturegoals including the open source accessibility of the tool are given.
Language Tools, systems, applications
Topics Corpus (creation, annotation, etc.), Emotion Recognition/Generation, Tools, systems, applications
Full paper Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion
Bibtex @InProceedings{SCHERER10.101,
  author = {Stefan Scherer, Ingo Siegert, Lutz Bigalke and Sascha Meudt},
  title = {Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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