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.
@InProceedings{NOVITASARI18.751, author = {Sashi Novitasari and Quoc Truong Do and Sakriani Sakti and Dessi Lestari and Satoshi Nakamura}, title = "{Construction of English-French Multimodal Affective Conversational Corpus from TV Dramas}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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