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DEMoS: an Italian emotional speech corpus. Elicitation methods, machine learning, and perception

Emilia Parada-Cabaleiro; Giovanni Costantini; Anton Batliner; Maximilian Schmitt; Bjoern Schuller

DEMoS (Database of Elicited Mood in Speech), is a corpus of induced emotional speech in Italian. DEMoS encompasses 9,365 emotional and 332 neutral samples produced by 68 native speakers (23 females, 45 males) in seven emotional states: the ‘big six’ anger, sadness, happiness, fear, surprise, disgust, and the secondary emotion guilt. To get more realistic productions, instead of acted speech, DEMoS contains emotional speech elicited by combinations of Mood Induction Procedures (MIP). Three elicitation methods are presented, made up by the combination of at least three MIPs, and considering six different MIPs in total. To select samples ‘typical’ of each emotion, evaluation strategies based on self- and external assessment were applied. The selected part of the corpus encompasses 1,564 prototypical samples produced by 59 speakers (21 females, 38 male). DEMoS has been published in the Journal Language, Resousrces, and Evalaution.

 

Emilia Parada-Cabaleiro, Giovanni Costantini, Anton Batliner, Maximilian Schmitt, and Björn Schuller (2019), DEMoS: An Italian emotional speech corpus. Elicitation methods, machine learning, and perception, Language, Resources, and Evaluation, Feb 2019. https://rdcu.be/bn7oI

Restricted Access

You may request access to the files in this upload, provided that you fulfil the conditions below. The decision whether to grant/deny access is solely under the responsibility of the record owner.


The user who will make use of DEMoS may only use the database after the End User License Agreement (EULA) has been signed and returned to the authors. By signing the EULA, the user agrees to the specific terms of use considered by the authors. The EULA must be signed by a person with a permanent position at an academic institute. The user may not use the database for any non-academic purpose. The user may not distribute the database in any way. All research papers, presentations, or documents that report the use of DEMoS will cite the following paper:

Emilia Parada-Cabaleiro, Giovanni Costantini, Anton Batliner, Maximilian Schmitt, and Björn Schuller (2019), DEMoS: An Italian emotional speech corpus. Elicitation methods, machine learning, and perception, Language, Resources, and Evaluation, Feb 2019. https://rdcu.be/bn7oI

To get access, please contact Emilia Parada-Cabaleiro at:
emilia.parada-cabaleiro@informatik.uni-augsburg.de

alternative:
emipc86@hotmail.com


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