Extracting user preferences by GTM for aiGA weight tuning in unit selection text-to-speech synthesis

Lluís Formiga, Francesc Alías

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

6 Cites (Scopus)

Resum

Unit-selection based Text-to-Speech synthesis systems aim to obtain high quality synthetic speech by optimally selecting previously recorded units. To that effect these units are selected by a dynamic programming algorithm guided through a weighted cost function. Thus, in this context, weights should be tuned perceptually so as to be in agreement with perception from listening users. In previous works we have proposed to subjectively tune these weights through an interactive evolutionary process, also known as Active Interactive Genetic Algorithm (aiGA). The problem comes out when different users, although being consistent, evolve to different weight configurations. In this proof-of-principle work, Generative Topographic Mapping (GTM) is introduced as a method to extract knowledge from user specific preferences. The experiments show that GTM is able to capture user preferences, thus, avoiding selecting the best evolved weight configuration by means of a second preference test.

Idioma originalAnglès
Títol de la publicacióComputational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings
EditorSpringer Verlag
Pàgines654-661
Nombre de pàgines8
ISBN (imprès)9783540730064
DOIs
Estat de la publicacióPublicada - 2007
Esdeveniment9th International Work-Conference on Artificial Neural Networks, IWANN 2007 - San Sebastian, Spain
Durada: 20 de juny 200722 de juny 2007

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum4507 LNCS
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència9th International Work-Conference on Artificial Neural Networks, IWANN 2007
País/TerritoriSpain
CiutatSan Sebastian
Període20/06/0722/06/07

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