Acoustical Analysis of Emotional Speech in Standard Basque for Emotions Recognition

  • Eva Navas*
  • , Inmaculada Hernáez
  • , Amaia Castelruiz
  • , Jon Sánchez
  • , Iker Luengo
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

Abstract

This paper presents the acoustical study of an emotional speech database in standard Basque to determine the set of parameters that can be used for the recognition of emotions. The database is divided into two parts, one with neutral texts and another one with texts semantically related with the emotion. The study is performed on both parts, in order to known whether the same criteria may be used to recognize emotions independently of the semantic content of the text. Mean F0, F0 range, maximum positive slope in F0 curve, mean phone duration and RMS energy are analyzed. The parameters selected can distinguish emotions in both corpora, so they are suitable for emotion recognition.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsAlberto Sanfeliu, Jose Francisco Martinez-Trinidad, Jesus Ariel Carrasco-Ochoa
PublisherSpringer Verlag
Pages386-393
Number of pages8
ISBN (Print)3540235272
DOIs
Publication statusPublished - 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3287
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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