Conference paper

SKÁCEL Miroslav and SZŐKE Igor. BUT QUESST 2015 System Description. In: CEUR Workshop Proceedings. Wurzen: CEUR-WS.org, 2015, pp. 1-3. ISSN 1613-0073.
Publication language:english
Original title:BUT QUESST 2015 System Description
Title (cs):BUT QUESST 2015 Popis systému
Pages:1-3
Proceedings:CEUR Workshop Proceedings
Conference:MediaEval 2015
Place:Wurzen, DE
Year:2015
Journal:CEUR Workshop Proceedings, Vol. 2015, No. 1436, DE
ISSN:1613-0073
Publisher:CEUR-WS.org
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2015/skacel_mediaeval2015_submission_72.pdf [PDF]
Keywords
query-by-example, DTW, dynamic time warping, spoken term detection, keyword spotting, bottle-neck features
Annotation
This paper describes system for query-by-example spoken term detection built for QUESST 2015 evaluation. The system uses dynamic time warping to detect spoken term utilizing bottle-neck features.
Abstract
All our systems are based on Dynamic Time Warping (DTW). These systems use bottle-neck features (BN) as input. The bottle-neck feature extractors were trained on GlobalPhone Czech, Portuguese, Russian and Spanish languages, so our approach is in low-resource category. We also aimed on T1/T2/T3 types of query search for late submission systems. System calibration and fusion were based on binary logistic regression.
BibTeX:
@INPROCEEDINGS{
   author = {Miroslav Sk{\'{a}}cel and Igor Sz{\H{o}}ke},
   title = {BUT QUESST 2015 System Description},
   pages = {1--3},
   booktitle = {CEUR Workshop Proceedings},
   journal = {CEUR Workshop Proceedings},
   volume = {2015},
   number = {1436},
   year = {2015},
   location = {Wurzen, DE},
   publisher = {CEUR-WS.org},
   ISSN = {1613-0073},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11069}
}

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