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Citation

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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Abstract

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 of publication

Title: Detection of Large Segmentation Errors with Score Predictive Model
Author: Matura, M ; Matoušek, J.
Language: English
Date of publication: 14 Sep 2015
Year: 2015
Type of publication: Papers in proceedings of reviewed conferences
Book title: Text, Speech, and Dialogue, 18th International Conference
Series: Lecture Notes in Artificial Intelligence
Číslo vydání: 9302
Page: 524 - 532
DOI: 10.1007/978-3-319-24033-6_59
ISBN: 978-3-319-24032-9
ISSN: 0302-9743
Publisher: Springer
Date: 14 Sep 2015 - 17 Sep 2015
/ 2016-01-13 17:17:55 /

Keywords

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},
}