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@inproceedings{405922,
author = {Batůšek, Robert},
address = {Santa Monica, USA},
booktitle = {Proceedings of IEEE Workshop on Speech Synthesis},
keywords = {speech synthesis; segment dissimilarity},
language = {cze},
location = {Santa Monica, USA},
pages = {1-4},
publisher = {UCLA},
title = {Symbolic Segment Dissimilarity Measure and Its Applications in Speech Synthesis},
year = {2002}
}
TY - JOUR
ID - 405922
AU - Batůšek, Robert
PY - 2002
TI - Symbolic Segment Dissimilarity Measure and Its Applications in Speech Synthesis
PB - UCLA
CY - Santa Monica, USA
KW - speech synthesis
KW - segment dissimilarity
N2 - This paper presents a novel method for determining a measure of dissimilarity of symbolic representations of speech segments. It is supposed that these symbolic representations can be completely derived from text, e.g. using a text analysis component of a text-to-speech synthesiser. An analysis is made to evaluate the correspondence of the particular symbolic features with the acoustic variability. A final dissimilarity measure is designed so that to maximise the correspondence with the selected acoustic measure. The designed measure is applied to the problem of sentence selection for the speech synthesis voice databases.
ER -
BATŮŠEK, Robert. Symbolic Segment Dissimilarity Measure and Its Applications in Speech Synthesis. In \textit{Proceedings of IEEE Workshop on Speech Synthesis}. Santa Monica, USA: UCLA, 2002, s.~1-4.
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