About: Robust statistic estimates for adaptation in the task of speech recognition

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper deals with robust estimations of data statistics used for the adaptation. The statistics are accumulated before the adaptation process from available adaptation data. In general, only small amount of adaptation data is assumed. These data are often corrupted by noise, channel, they do not contain only clean speech. Also, when training Hidden Markov Models (HMM) several assumptions are made that could not have been fulfilled in the praxis, etc. Therefore, we described several techniques that aim to make the adaptation as robust as possible in order to increase the accuracy of the adapted system. One of the methods consists in initialization of the adaptation statistics in order to prevent ill-conditioned transformation matrices. Another problem arises when an acoustic feature is assigned to an improper HMM state even if the reference transcription is available. Such situations can occur because of the forced alignment process used to align frames to states. Thus, it is quite handy to acc This paper deals with robust estimations of data statistics used for the adaptation. The statistics are accumulated before the adaptation process from available adaptation data. In general, only small amount of adaptation data is assumed. These data are often corrupted by noise, channel, they do not contain only clean speech. Also, when training Hidden Markov Models (HMM) several assumptions are made that could not have been fulfilled in the praxis, etc. Therefore, we described several techniques that aim to make the adaptation as robust as possible in order to increase the accuracy of the adapted system. One of the methods consists in initialization of the adaptation statistics in order to prevent ill-conditioned transformation matrices. Another problem arises when an acoustic feature is assigned to an improper HMM state even if the reference transcription is available. Such situations can occur because of the forced alignment process used to align frames to states. Thus, it is quite handy to acc (en)
Title	Robust statistic estimates for adaptation in the task of speech recognition Robust statistic estimates for adaptation in the task of speech recognition (en)
skos:prefLabel	Robust statistic estimates for adaptation in the task of speech recognition Robust statistic estimates for adaptation in the task of speech recognition (en)
skos:notation	RIV/49777513:23520/10:00504214!RIV11-GA0-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GA102/08/0707), P(LC536), S
http://linked.open...iv/cisloPeriodika	6231
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Zajíc, Zbyněk Müller, Luděk Machlica, Lukáš
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	285581
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/10:00504214
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	fMLLR; adaptation; speech recognition; robustness (en)
http://linked.open.../riv/klicoveSlovo	fMLLR adaptation robustness speech recognition
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[E2FFE28F53A6]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Artificial Intelligence
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Speech Recognition under Real-World Conditions Integrated center for natural language processing
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	2010
http://linked.open...iv/tvurceVysledku	Machlica, Lukáš Zajíc, Zbyněk Müller, Luděk
issn	0302-9743
number of pages	8 (xsd:int)
http://localhost/t...ganizacniJednotka	23520

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