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A Processing Tool for Emotionally Coloured Speech

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Proceedings of the 2011 IEEE International Conference on Multimedia & Expo, Barcelona, Spain, IEEE, (июля 2011)

Аннотация

In speech recognition and emotion recognition from speech, qualitatively high transcription and annotation of given material is important. To analyse prosodic feature s, linguistics provides several transcription systems. Furthermore, in emotion labelling different methods are proposed and discussed. In this paper, we introduce the tool ikannotate, which combines prosodic information with emotion labelling. It allows the generation of a transcription of material directly annotated with prosodic features. Moreover, material can be emotionally labelled according to Basic Emotions, the Geneva Emotion Wheel, and Self Assessment Manikins. Finally, we present results of two usability tests observing the ability to identify emotions in labelling and comparing the transcription tool “Folker” with our application.

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