Validation of an expressive speech corpus by mapping automatic classification to subjective evaluation

Ignasi Iriondo, Santiago Planet, Francesc Alías, Joan Claudi Socoró, Elisa Martínez

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

This paper presents the validation of the expressive content of an acted corpus produced to be used in speech synthesis. The use of acted speech can be rather lacking in authenticity and therefore its expressiveness validation is required. The goal is to obtain an automatic classifier able to prune the bad utterances -with wrong expressiveness-. Firstly, a subjective test has been conducted with almost ten percent of the corpus utterances. Secondly, objective techniques have been carried out by means of automatic identification of emotions using different algorithms applied to statistical features computed over the speech prosody. The relationship between both evaluations is achieved by an attribute selection process guided by a metric that measures the matching between the misclassified utterances by the users and the automatic process. The experiments show that this approach can be useful to provide a subset of utterances with poor or wrong expressive content.

Idioma originalInglés
Título de la publicación alojadaComputational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings
EditorialSpringer Verlag
Páginas646-653
Número de páginas8
ISBN (versión impresa)9783540730064
DOI
EstadoPublicada - 2007
Evento9th International Work-Conference on Artificial Neural Networks, IWANN 2007 - San Sebastian, Espana
Duración: 20 jun 200722 jun 2007

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen4507 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia9th International Work-Conference on Artificial Neural Networks, IWANN 2007
País/TerritorioEspana
CiudadSan Sebastian
Período20/06/0722/06/07

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