Annotation and detection of blended emotions in real human-human dialogs recorded in a call center

In the context of call centers, emotion detection is potentially important for customer care. Emotions in natural interaction are often blended. For example, in a Stock Exchange service centre, some customers are angry because they are afraid to lose money. A 100 agent-client dialog corpus has been...

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Bibliographische Detailangaben

Hauptverfasser:	Vidrascu, L., Devillers, L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustic signal detection Appraisal Context-aware services Emotion recognition Loudspeakers Network synthesis Social factors Speech recognition Speech synthesis Stock markets
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