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

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

Research output: A Conference proceeding or a Chapter in BookConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationComputational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings
Subtitle of host publicationLecture Notes in Computer Science
Pages646-653
Number of pages8
Volume4507
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event9th International Work-Conference on Artificial Neural Networks, IWANN 2007 - San Sebastian, Spain
Duration: 20 Jun 200722 Jun 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4507 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Work-Conference on Artificial Neural Networks, IWANN 2007
CountrySpain
CitySan Sebastian
Period20/06/0722/06/07

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