Prosody Modelling of Spanish for Expressive Speech Synthesis

Author

Iriondo, Ignasi ; Socoro, Joan Claudi ; Alias, Francesc

Author_Institution

Dept. of Commun. & Signal Theory, Ramon Llull Univ., Barcelona

Volume

4

fYear

2007

fDate

15-20 April 2007

Abstract

This paper presents the use of analogical learning, in particular case-based reasoning, for the automatic generation of prosody from text, which is automatically tagged with prosodic features. This is a corpus-based method for quantitative modelling of prosody to be used in a Spanish text to speech system. The main objective is the development of a method for predicting the three main prosodic parameters: the fundamental frequency (F0) contour, the segmental duration and energy. Both objective and subjective experiments have been conducted in order to evaluate the accuracy of our proposal.

Keywords

speech synthesis; Spanish text; analogical learning; automatic prosody generation; case-based reasoning; corpus-based method; expressive speech synthesis; fundamental frequency contour; prosodic features; prosody modelling; quantitative modelling; Context modeling; Frequency; Humans; Natural languages; Proposals; Root mean square; Semiconductor device modeling; Signal generators; Speech processing; Speech synthesis; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2007.367039

Filename

4218227