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Matoušek, J. and Tihelka, D. and Psutka, J. : Experiments with automatic segmentation for Czech speech synthesis . Text, Speech and Dialogue, Lecture Notes in Computer Science, vol. 2807, p. 287-294, Springer, Berlin, Heidelberg, 2003.

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This paper deals with the automatic segmentation for Czech Concatenative speech synthesis. Statistical approach to speech segmentation using hidden Markov models (HMMs) is applied in the baseline system .Several experiments that concern various issues in the process of building the segmentation system, such as speech parameterization or HMM initialization problems, are described here. An objective comparison of various experimental automatic and manual segmentations is performed to find out the best settings of the segmentation system with respect to our single-female-speaker continuous speech corpus.

Detail of publication

Title: Experiments with automatic segmentation for Czech speech synthesis
Author: Matoušek, J. ; Tihelka, D. ; Psutka, J.
Language: English
Date of publication: 8 Sep 2003
Year: 2003
Type of publication: Papers in proceedings of reviewed conferences
Book title: Text, Speech and Dialogue
Series: Lecture Notes in Computer Science
Číslo vydání: 2807
Page: 287 - 294
ISBN: 3-540-20024-X
ISSN: 0302-9743
Publisher: Springer
Address: Berlin, Heidelberg
Date: 8 Sep 2003 - 12 Sep 2003
/ 2012-05-30 22:57:04 /


HMM-based speech segmentation, speech parameterization, context dependency, multiple mixtures, HMM initialization, iterative training concatenative speech synthesis


 author = {Matou\v{s}ek, J. and Tihelka, D. and Psutka, J.},
 title = {Experiments with automatic segmentation for Czech speech synthesis},
 year = {2003},
 publisher = {Springer},
 address = {Berlin, Heidelberg},
 volume = {2807},
 pages = {287-294},
 booktitle = {Text, Speech and Dialogue},
 series = {Lecture Notes in Computer Science},
 ISBN = {3-540-20024-X},
 ISSN = {0302-9743},
 url = {},