Result Details
BUT QUESST 2014 System Description
Skácel Miroslav, Ing., DCGM (FIT)
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
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.
query-by-example, low resourced, neural network, posterior features, bottle-neck features, DTW, AKWS
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.
@inproceedings{BUT111699,
author="Igor {Szőke} and Miroslav {Skácel} and Lukáš {Burget}",
title="BUT QUESST 2014 System Description",
booktitle="CEUR Workshop Proceedings",
year="2014",
journal="CEUR Workshop Proceedings",
volume="2014",
number="1263",
pages="1--2",
publisher="CEUR-WS.org",
address="Barcelona",
issn="1613-0073",
url="http://www.fit.vutbr.cz/research/groups/speech/publi/2014/szoke_mediaeval2014_submission_62.pdf"
}