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Citation
p. 345-352, Springer, Berlin-Heidelberg, Germany, 2010. : Collection and Analysis of Data for Evaluation of Concatenation Cost Functions . Text, Speech and Dialogue, proceedings of the 13th International Conference TSD 2010, Lecture Notes in Artificial Intelligence,
Additional information
Abstract
This paper describes the collection and analysis of data, which are planned to be used for the evaluation and development of concatenation cost functions for unit selection based TTS systems. Data, collected via listening tests following the recommendations given in [1], were analyzed in a variety of ways to identify and possibly exclude "malicious" listeners as well as to demonstrate their sufficient "richness" for the aimed utilization. This study was limited to five Czech vowels as these sounds are characterized by being highly energetic and having rich spectral content, which induces complexity and wide range of possible discontinuities at concatenation points.
Detail of publication
Title: | Collection and Analysis of Data for Evaluation of Concatenation Cost Functions |
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Author: | Legát, M. ; Matoušek, J. |
Language: | English |
Date of publication: | 6 Sep 2010 |
Year: | 2010 |
Type of publication: | Papers in journals |
Book title: | Text, Speech and Dialogue, proceedings of the 13th International Conference TSD 2010 |
Series: | Lecture Notes in Artificial Intelligence |
Page: | 345 - 352 |
ISBN: | 3-642-15759-9 |
ISSN: | 0302-9743 |
Publisher: | Springer |
Address: | Berlin-Heidelberg, Germany |
Date: | 6 Sep 2010 - 10 Sep 2010 |
Keywords
TTS, unit selection, concatenation cost, listening tests
BibTeX
@INPROCEEDINGS{LegatM_2010_Collectionand, author = {Leg\'{a}t, M. and Matou\v{s}ek, J.}, title = {Collection and Analysis of Data for Evaluation of Concatenation Cost Functions}, year = {2010}, publisher = {Springer}, address = {Berlin-Heidelberg, Germany}, pages = {345-352}, booktitle = {Text, Speech and Dialogue, proceedings of the 13th International Conference TSD 2010}, series = {Lecture Notes in Artificial Intelligence}, ISBN = {3-642-15759-9}, ISSN = {0302-9743}, url = {http://www.kky.zcu.cz/en/publications/LegatM_2010_Collectionand}, }