A method for training a text to speech system, the resulting...

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G10L 13/08 (2006.01) G06F 3/16 (2006.01) G10L 13/02 (2006.01) G10L 5/02 (1995.01) G10L 9/02 (1995.01)

Patent

CA 2151399

A method of training a TTS (104) to assign intonational features, such as intonational phrase boundaries, to input text (110). The method of training involves taking a set of predetermined text (110) and having a human annotate it with intonational feature annotations. The text is passed through the preprocessor (120) and the phrasing module (122) wherein a set of decision nodes is generated by statistically analyzing information based upon the structure of the predetermined text. The statistical representation may then be stored and repeatedly used to generate synthesized speech, through the post processor (124), from new sets of input text without further training.

L'invention concerne un procédé permettant d'apprendre à un système de conversion de textes en langage parlé (TTS) (104) à attribuer à un texte (110) des caractéristiques d'intonation telles que les limites des syntagmes. Ce procédé d'apprentissage consiste à prendre un ensemble texte prédéterminé (110), qu'un utilisateur accompagne d'annotations relatives aux caractéristiques d'intonation. Ce texte passe ensuite dans le préprocesseur (120) et dans le module de mise en syntagmes (122), dans lequel un ensemble de noeuds de décision est généré par des informations d'analyse statistique basées sur la structure du texte prédéterminé. La représentation statistique peut être ensuite mémorisée et utilisée de manière répétée pour synthétiser la parole par l'intermédiaire du postprocesseur (124) à partir de nouveaux ensembles texte d'entrée sans apprentissage supplémentaire.

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