Construction of English-French Multimodal Affective Conversational Corpus from TV Dramas

Abstract

Recently, there has been an increase of interest in constructing corpora containing social-affective interactions. But the availability of multimodal, multilingual, and emotionally rich corpora remains limited. The tasks of recording and transcribing actual human-to-human affective conversations are also tedious and time-consuming. This paper describes construction of a multimodal affective conversational corpus based on TV dramas. The data contain parallel English-French languages in lexical, acoustic, and facial features. In addition, we annotated the part of the English data with speaker and emotion information. Our corpus can be utilized to develop and assess such tasks as speaker and emotion recognition, affective speech recognition and synthesis, linguistic, and paralinguistic speech-to-speech translation as well as a multimodal dialog system.

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