Summary of the paper
| Title | CINEMO ― A French Spoken Language Resource for Complex Emotions: Facts and Baselines |
|---|---|
| Authors | Björn Schuller, Riccardo Zaccarelli, Nicolas Rollet and Laurence Devillers |
| Abstract | The CINEMO corpus of French emotional speech provides a richly annotated resource to help overcome the apparent lack of learning and testing speech material for complex, i.e. blended or mixed emotions. The protocol for its collection was dubbing selected emotional scenes from French movies. 51 speakers are contained and the total speech time amounts to 2 hours and 13 minutes and 4k speech chunks after segmentation. Extensive labelling was carried out in 16 categories for major and minor emotions and in 6 continuous dimensions. In this contribution we give insight into the corpus statistics focusing in particular on the topic of complex emotions, and provide benchmark recognition results obtained in exemplary large feature space evaluations. In the result the labelling oft he collected speech clearly demonstrates that a complex handling of emotion seems needed. Further, the automatic recognition experiments provide evidence that the automatic recognition of blended emotions appears to be feasible. |
| Topics | Corpus (creation, annotation, etc.), Emotion Recognition/Generation, Speech resource/database |
Full paper |
CINEMO ― A French Spoken Language Resource for Complex Emotions: Facts and Baselines |
Slides |
CINEMO ― A French Spoken Language Resource for Complex Emotions: Facts and Baselines |
| Bibtex | @InProceedings{SCHULLER10.483, author = {Björn Schuller and Riccardo Zaccarelli and Nicolas Rollet and Laurence Devillers}, title = {CINEMO ― A French Spoken Language Resource for Complex Emotions: Facts and Baselines}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |