SVM-Based Detection of Misannotated Words in Read Speech Corpora
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919403" target="_blank" >RIV/49777513:23520/13:43919403 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-40585-3_58" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-40585-3_58</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-40585-3_58" target="_blank" >10.1007/978-3-642-40585-3_58</a>
Alternative languages
Result language
angličtina
Original language name
SVM-Based Detection of Misannotated Words in Read Speech Corpora
Original language description
Automatic detection of misannotated words in single-speaker read-speech corpora is investigated in this paper. Support vector machine (SVM) classifier was proposed to detect the misannotated words. Its performance was evaluated with respect to various word-level feature sets. The SVM classifier was shown to perform very well with both high precision and recall scores and with F1 measure being almost 88%. This is a statistically significant improvement over a traditionally used outlier-based detection method.
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/TA01030476" target="_blank" >TA01030476: Intelligent technologies for improving air traffic security</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
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 16th International Conference, TSD 2013, Pilsen, Czech Republic, September 1-5, 2013. Proceedings
ISBN
978-3-642-40584-6
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
457-464
Publisher name
Springer
Place of publication
Heidelberg
Event location
Plzeň
Event date
Sep 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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