Acoustical Analysis of Emotional Speech in Standard Basque for Emotions Recognition

Eva Navas; Inmaculada Hernáez; Amaia Castelruiz; Jon Sánchez; Iker Luengo

doi:10.1007/978-3-540-30463-0_48

Acoustical Analysis of Emotional Speech in Standard Basque for Emotions Recognition

Eva Navas^*
, Inmaculada Hernáez
, Amaia Castelruiz
, Jon Sánchez
, Iker Luengo

^*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo › revisión exhaustiva

6 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editores	Alberto Sanfeliu, Jose Francisco Martinez-Trinidad, Jesus Ariel Carrasco-Ochoa
Editorial	Springer Verlag
Páginas	386-393
Número de páginas	8
ISBN (versión impresa)	3540235272
DOI	https://doi.org/10.1007/978-3-540-30463-0_48
Estado	Publicada - 2004
Publicado de forma externa	Sí

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	3287
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

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10.1007/978-3-540-30463-0_48

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Navas, E., Hernáez, I., Castelruiz, A., Sánchez, J., & Luengo, I. (2004). Acoustical Analysis of Emotional Speech in Standard Basque for Emotions Recognition. En A. Sanfeliu, J. F. Martinez-Trinidad, & J. A. Carrasco-Ochoa (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 386-393). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3287). Springer Verlag. https://doi.org/10.1007/978-3-540-30463-0_48

Navas, Eva ; Hernáez, Inmaculada ; Castelruiz, Amaia et al. / Acoustical Analysis of Emotional Speech in Standard Basque for Emotions Recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Alberto Sanfeliu ; Jose Francisco Martinez-Trinidad ; Jesus Ariel Carrasco-Ochoa. Springer Verlag, 2004. pp. 386-393 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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Navas, E, Hernáez, I, Castelruiz, A, Sánchez, J & Luengo, I 2004, Acoustical Analysis of Emotional Speech in Standard Basque for Emotions Recognition. En A Sanfeliu, JF Martinez-Trinidad & JA Carrasco-Ochoa (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3287, Springer Verlag, pp. 386-393. https://doi.org/10.1007/978-3-540-30463-0_48

Acoustical Analysis of Emotional Speech in Standard Basque for Emotions Recognition. / Navas, Eva; Hernáez, Inmaculada; Castelruiz, Amaia et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Alberto Sanfeliu; Jose Francisco Martinez-Trinidad; Jesus Ariel Carrasco-Ochoa. Springer Verlag, 2004. p. 386-393 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3287).

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo › revisión exhaustiva

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N2 - 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.

AB - 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.

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Navas E, Hernáez I, Castelruiz A, Sánchez J, Luengo I. Acoustical Analysis of Emotional Speech in Standard Basque for Emotions Recognition. En Sanfeliu A, Martinez-Trinidad JF, Carrasco-Ochoa JA, editores, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 386-393. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30463-0_48

Acoustical Analysis of Emotional Speech in Standard Basque for Emotions Recognition

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