Published February 22, 2019 | Version v1
Dataset Restricted

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

  • 1. UNIVERSITY OF AUGSBURG
  • 2. University of Rome Tor Vergata

Description

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

 

How to access DEMoS

To get access to the dataset, please send the signed End User License Agreement (EULA) when making the request. The EULA must be signed by somebody from a university holding a permanent position, typically a full professor. Note that requests without an EULA appropriately filled out, as well as those performed from a non-institutional e-mail address, will be automatically rejected. Please download the EULA from the following link:

https://drive.google.com/file/d/1v6GaCVyNcib5v802t2uXHYOioqIkoBQ-/view?usp=share_link

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

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

You are currently not logged in. Do you have an account? Log in here

Additional details

Funding

IHEARU – Intelligent systems' Holistic Evolving Analysis of Real-life Universal speaker characteristics 338164
European Commission