Prosodic Phrase Annotation in Czech Corpus
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A00504531" target="_blank" >RIV/49777513:23520/09:00504531 - 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
Prosodic Phrase Annotation in Czech Corpus
Original language description
In order to improve speech naturalness of a unit selection TTS system it is necessary to annotate prosodic phrase boundaries in the whole source corpus, which is extremely difficult to achieve manually. However, automatic machine learning methods requirereliable training and testing sets. This paper describes an objective method for assignment of prosodic phrases in read speech data, which is able to produce such reliable sets. The method is based on statistical evaluation of listening test data by a maximum-likelihood approach with parameters estimated by an EM algorithm.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LC536" target="_blank" >LC536: Integrated center for natural language processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speech Processing
ISBN
978-80-86269-18-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Institute of Photonics and Electronics, Academy of Sciences of the Czech Republic
Place of publication
Prague
Event location
Prague
Event date
Jan 1, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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