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Citation

Zelinka, J. and Müller, L. : Automatic general letter-to-sound rules generation for German text-to-speech system . Lecture Notes in Artificial Intelligence, 3206, p. 537-543, Springer, Berlin, 2004.

Abstract

This paper is devoted to letter-to-sound (LTS) conversion for the German language. The system for automatic LTS conversion is an essential module in speech recognition and text-to-speech (TTS) systems. The LTS rules are generated by the decision tree based method. Although this method usually uses the entropy criterion we proposed and used a new original criterion described in the paper. The both criterions are investigated and their results are compared. Our training lexicon does not contain any alignment information. Therefore, three different automatic alignment methods were used and tested. A chunk-based alignment instead of usual one-to-one character correspondence is employed.

Detail of publication

Title: Automatic general letter-to-sound rules generation for German text-to-speech system
Author: Zelinka, J. ; Müller, L.
Language: English
Date of publication: 8 Sep 2004
Year: 2004
Type of publication: Papers in journals
Title of journal or book: Lecture Notes in Artificial Intelligence
Series: 3206
Page: 537 - 543
ISBN: 0302-9743
Publisher: Springer
Address: Berlin
Date: 8 Sep 2004 - 11 Sep 2004
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Keywords

phonetic transcription, LTS-rules, decision trees, alignment

BibTeX

@ARTICLE{ZelinkaJ_2004_Automaticgeneral_1,
 author = {Zelinka, J. and M\"{u}ller, L.},
 title = {Automatic general letter-to-sound rules generation for German text-to-speech system},
 year = {2004},
 publisher = {Springer},
 journal = {Lecture Notes in Artificial Intelligence},
 address = {Berlin},
 pages = {537-543},
 series = {3206},
 ISBN = {0302-9743},
 url = {http://www.kky.zcu.cz/en/publications/ZelinkaJ_2004_Automaticgeneral_1},
}