Collection and Analysis of Data for Evaluation of Concatenation Cost Functions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00504227" target="_blank" >RIV/49777513:23520/10:00504227 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Collection and Analysis of Data for Evaluation of Concatenation Cost Functions
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes in Artificial Intelligence
ISSN
0302-9743
e-ISSN
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Volume of the periodical
2010
Issue of the periodical within the volume
6231
Country of publishing house
DE - GERMANY
Number of pages
8
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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