Correction of Prosodic Phrases in Large Speech Corpora
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929885" target="_blank" >RIV/49777513:23520/16:43929885 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-45510-5_47" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-45510-5_47</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-45510-5_47" target="_blank" >10.1007/978-3-319-45510-5_47</a>
Alternative languages
Result language
angličtina
Original language name
Correction of Prosodic Phrases in Large Speech Corpora
Original language description
Nowadays, in many speech processing tasks, such as speech recognition and synthesis, really large speech corpora are utilized. These speech corpora usually contain several hours of speech or even more. To achieve possibly best results, an appropriate annotation of the recorded utterances is often necessary. This paper is focused on problems related to the prosodic annotation of the Czech speech corpora. In the Czech language, the utterances are supposed to be split by pauses into so-called prosodic clauses containing one or more prosodic phrases. The types of particular phrases are linked to their last prosodic words corresponding to various functionally involved prosodemes. The clause/phrase structure is substantially determined by the sentence composition. However, in real speech data, different prosodeme type or even phrase/clause borders can be present. This paper deals with 2 basic problems: the correction of the improper prosodeme/phrase type and the detection of new phrase borders. For both tasks, we proposed new procedures utilizing hidden Markov models. Experiments were performed on 4 large speech corpora recorded by professional speakers for the purpose of speech synthesis. These experiments were limited to the declarative sentences. The results were successfully verified by listening tests.
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/GA16-04420S" target="_blank" >GA16-04420S: Combining phonetic and corpus-based approaches to remedy disruptive effects in synthetic speech</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Text, Speech, and Dialogue 19th International Conference, TSD 2016, Brno , Czech Republic, September 12-16, 2016, Proceedings
ISBN
978-3-319-45509-9
ISSN
0302-9743
e-ISSN
—
Number of pages
10
Pages from-to
408-417
Publisher name
Springer
Place of publication
Heidelberg
Event location
Brno, Česká republika
Event date
Sep 12, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389707400047