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Detail publikace

Citace

Matura, M and Matoušek, J. : Detection of Large Segmentation Errors with Score Predictive Model . Text, Speech, and Dialogue, 18th International Conference, Lecture Notes in Artificial Intelligence, vol. 9302, p. 524-532, Springer, 2015.

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Abstrakt

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.

Detail publikace

Název: Detection of Large Segmentation Errors with Score Predictive Model
Autor: Matura, M ; Matoušek, J.
Název - česky: Detekce velkých segmentačních chyb pomocí skóre prediktivního modelu
Jazyk publikace: anglicky
Datum vydání: 14.9.2015
Rok vydání: 2015
Typ publikace: Stať ve sborníku
Název knihy: Text, Speech, and Dialogue, 18th International Conference
Svazek: Lecture Notes in Artificial Intelligence
Číslo vydání: 9302
Strana: 524 - 532
DOI: 10.1007/978-3-319-24033-6_59
ISBN: 978-3-319-24032-9
ISSN: 0302-9743
Nakladatel: Springer
Datum: 14.9.2015 - 17.9.2015
/ 2016-01-13 17:17:55 /

Klíčová slova

detection of segmentation errors, large segmentation errors, score predictive model

BibTeX

@INCOLLECTION{MaturaM_2015_DetectionofLarge,
 author = {Matura, M and Matou\v{s}ek, J.},
 title = {Detection of Large Segmentation Errors with Score Predictive Model},
 year = {2015},
 publisher = {Springer},
 volume = {9302},
 pages = {524-532},
 booktitle = {Text, Speech, and Dialogue, 18th International Conference},
 series = {Lecture Notes in Artificial Intelligence},
 ISBN = {978-3-319-24032-9},
 ISSN = {0302-9743},
 doi = {10.1007/978-3-319-24033-6_59},
 url = {http://www.kky.zcu.cz/en/publications/MaturaM_2015_DetectionofLarge},
}