EMOVO Corpus: an Italian Emotional Speech Database
Giovanni Costantini, Iacopo Iaderola, Andrea Paoloni, Massimiliano Todisco
Abstract
This article describes the first emotional corpus, named EMOVO, applicable to Italian language,. It is a database built from the voices of up to 6 actors who played 14 sentences simulating 6 emotional states (disgust, fear, anger, joy, surprise, sadness) plus the neutral state. These emotions are the well-known Big Six found in most of the literature related to emotional speech. The recordings were made with professional equipment in the Fondazione Ugo Bordoni laboratories. The paper also describes a subjective validation test of the corpus, based on emotion-discrimination of two sentences carried out by two different groups of 24 listeners. The test was successful because it yielded an overall recognition accuracy of 80%. It is observed that emotions less easy to recognize are joy and disgust, whereas the most easy to detect are anger, sadness and the neutral state.- Anthology ID:
- L14-1478
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 3501–3504
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/591_Paper.pdf
- DOI:
- Cite (ACL):
- Giovanni Costantini, Iacopo Iaderola, Andrea Paoloni, and Massimiliano Todisco. 2014. EMOVO Corpus: an Italian Emotional Speech Database. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3501–3504, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- EMOVO Corpus: an Italian Emotional Speech Database (Costantini et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/591_Paper.pdf