Detection of Large Segmentation Errors with Score Predictive Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43926585" target="_blank" >RIV/49777513:23520/15:43926585 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-24033-6_59" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-24033-6_59</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-24033-6_59" target="_blank" >10.1007/978-3-319-24033-6_59</a>
Alternative languages
Result language
angličtina
Original language name
Detection of Large Segmentation Errors with Score Predictive Model
Original language description
This paper investigates a possibility of an utilization of regressive score predictive model (SPM) in a process of detection of large segmentation errors. SPM’s scores of automatically marked boundaries between all speech segments are examined and further elaborated in an effort to discover the best threshold to distinguish between small and large errors. It was shown that the suggested detection method with a proper threshold can be used to detect all large errors for a specific type of a boundary.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/TA01011264" target="_blank" >TA01011264: Elimination of the language barriers faced by the handicapped watchers of the Czech Television II</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
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, 18th International Conference, TSD 2015, Pilsen, Czech Republic, September 14-17, 2015. Proceedings
ISBN
978-3-319-24032-9
ISSN
0302-9743
e-ISSN
—
Number of pages
9
Pages from-to
524-532
Publisher name
Springer
Place of publication
Berlin
Event location
Plzeň, Czech Republic
Event date
Sep 14, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000365947800059