IIIT-H TEMD Semi-Natural Emotional Speech Database from Professional Actors and Non-Actors

Banothu Rambabu, Kishore Kumar Botsa, Gangamohan Paidi, Suryakanth V Gangashetty


Abstract
A fundamental essence for emotional speech analysis towards emotion recognition is a good database. Database collected from natural scenarios consists of spontaneous emotions, but there are several issues in collection of such database. Other than the privacy and legal related concerns, there is no control over environment at the background. As it is difficult to collect data from natural scenarios, many research groups have collected data from semi-natural or designed procedures. In this paper, a new emotional speech database named IIIT-H TEMD (International Institute of Information Technology-Hyderabad Telugu Emotional Database) is collected using designed drama situations from actors and non-actors. Utterances are manually annotated using a hybrid strategy by giving the context to one of the listeners. As some of the data collection studies in the literature recommend for actors, analysis of actors data versus non-actors data is carried out for their significance. The total size of the dataset is about 5 hours, which makes it an useful resource for the emotional speech analysis.
Anthology ID:
2020.lrec-1.192
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
1538–1545
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.192
DOI:
Bibkey:
Cite (ACL):
Banothu Rambabu, Kishore Kumar Botsa, Gangamohan Paidi, and Suryakanth V Gangashetty. 2020. IIIT-H TEMD Semi-Natural Emotional Speech Database from Professional Actors and Non-Actors. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 1538–1545, Marseille, France. European Language Resources Association.
Cite (Informal):
IIIT-H TEMD Semi-Natural Emotional Speech Database from Professional Actors and Non-Actors (Rambabu et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.192.pdf