Conference paper

SZŐKE Igor, SKÁCEL Miroslav and BURGET Lukáš. BUT QUESST 2014 System Description. In: CEUR Workshop Proceedings. Barcelona: CEUR-WS.org, 2014, pp. 1-2. ISSN 1613-0073.
Publication language:english
Original title:BUT QUESST 2014 System Description
Title (cs):BUT QUESST 2014 Popis systému
Pages:1-2
Proceedings:CEUR Workshop Proceedings
Conference:MediaEval 2014
Place:Barcelona, ES
Year:2014
Journal:CEUR Workshop Proceedings, Vol. 2014, No. 1263, DE
ISSN:1613-0073
Publisher:CEUR-WS.org
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2014/szoke_mediaeval2014_submission_62.pdf [PDF]
Keywords
query-by-example, low resourced, neural network, posterior features, bottle-neck features, DTW, AKWS
Annotation
The paper describes system boild for QUESST 2014 evaluation - query-by-example search in speech. The system is based on DTW and AKWS techniques. It uses posterior and bottle-neck features.
Abstract
The primary system we submitted was composed of 11 subsystems as the required run. 3 subsystems are based on Acoustic Keyword Spotting (AKWS) and 8 on Dynamic Time Warping (DTW). The AKWS systems were based only on phoneme posteriors while the DTW subsystems were based on both phoneme posteriors and Bottle-Neck features (BN) as input. The underlying phoneme posterior estimators / bottle-neck feature extractors were both in-language (Czech) and out-of-language (other 4 languages). We also performed experiments on T1/T2/T3 types of query, system calibration and fusion based on binary logistic regression.
BibTeX:
@INPROCEEDINGS{
   author = {Igor Sz{\H{o}}ke and Miroslav Sk{\'{a}}cel and
	Luk{\'{a}}{\v{s}} Burget},
   title = {BUT QUESST 2014 System Description},
   pages = {1--2},
   booktitle = {CEUR Workshop Proceedings},
   journal = {CEUR Workshop Proceedings},
   volume = {2014},
   number = {1263},
   year = {2014},
   location = {Barcelona, ES},
   publisher = {CEUR-WS.org},
   ISSN = {1613-0073},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10800}
}

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