Assessing an Application of Spontaneous Stressed Speech - Emotions Portal

Daniel Palacios-Alonso*, Carlos Lázaro-Carrascosa, Agustín López-Arribas, Guillermo Meléndez-Morales, Andrés Gómez-Rodellar, Andrés Loro-Álavez, Victor Nieto-Lluis, Victoria Rodellar-Biarge, Athanasios Tsanas, Pedro Gómez-Vilda

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Detecting and identifying emotions expressed in speech signals is a very complex task that generally requires processing a large sample size to extract intricate details and match the diversity of human expression in speech. There is not an emotional dataset commonly accepted as a standard test bench to evaluate the performance of the supervised machine learning algorithms when presented with extracted speech characteristics. This work proposes a generic platform to capture and validate emotional speech. The aim of the platform is collaborative-crowdsourcing and it can be used for any language (currently, it is available in four languages such as Spanish, English, German and French). As an example, a module for elicitation of stress in speech through a set of online interviews and other module for labeling recorded speech have been developed. This study is envisaged as the beginning of an effort to establish a large, cost-free standard speech corpus to assess emotions across multiple languages.

Original languageEnglish
Title of host publicationUnderstanding the Brain Function and Emotions - 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Proceedings
EditorsHojjat Adeli, José Manuel Ferrández Vicente, Javier Toledo Moreo, José Ramón Álvarez-Sánchez, Félix de la Paz López
PublisherSpringer-Verlag
Pages149-160
Number of pages12
ISBN (Print)9783030195908
DOIs
Publication statusPublished - 1 Jan 2019
Event8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019 - Almería, Spain
Duration: 3 Jun 20197 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11486 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019
Country/TerritorySpain
CityAlmería
Period3/06/197/06/19

Keywords

  • Characterizing stress
  • Cooperative framework
  • Data acquisition
  • Emotional stress
  • Stress behavior in human-computer interaction

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