About: Two-Step Unsupervised Speaker Adaptation Based on Speaker and Gender Recognition and HMM Combination

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this paper, we present a new strategy for unsupervised speaker adaptation. In our approach, the adaptation is performed in two steps for each test utterance. In the first online step, we utilize speaker and gender identification, a set of speaker dependent (SD) hidden Markov models (HMMs) and our own fast linear model combination approach to create a proper model for the first speech recognition pass. After that the recognized phonetic transcription of the utterance is used for maximum likelihood (ML) estimation of more accurate weights for the final model combination step. Our experimental results on different types of broadcast programs show that the proposed method is capable to reduce the word error rate (WER) relatively by more than 17 %. In this paper, we present a new strategy for unsupervised speaker adaptation. In our approach, the adaptation is performed in two steps for each test utterance. In the first online step, we utilize speaker and gender identification, a set of speaker dependent (SD) hidden Markov models (HMMs) and our own fast linear model combination approach to create a proper model for the first speech recognition pass. After that the recognized phonetic transcription of the utterance is used for maximum likelihood (ML) estimation of more accurate weights for the final model combination step. Our experimental results on different types of broadcast programs show that the proposed method is capable to reduce the word error rate (WER) relatively by more than 17 %. (en)
Title	Two-Step Unsupervised Speaker Adaptation Based on Speaker and Gender Recognition and HMM Combination Two-Step Unsupervised Speaker Adaptation Based on Speaker and Gender Recognition and HMM Combination (en)
skos:prefLabel	Two-Step Unsupervised Speaker Adaptation Based on Speaker and Gender Recognition and HMM Combination Two-Step Unsupervised Speaker Adaptation Based on Speaker and Gender Recognition and HMM Combination (en)
skos:notation	RIV/46747885:24220/06:#0001345!RIV10-AV0-24220___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(1QS108040569)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Červa, Petr Nouza, Jan Silovský, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Technická univerzita v Liberci / Fakulta mechatroniky, informatiky a mezioborových studií
http://linked.open...dnocenehoVysledku	504658
http://linked.open...ai/riv/idVysledku	RIV/46747885:24220/06:#0001345
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	speech recognition (en)
http://linked.open.../riv/klicoveSlovo	speech recognition
http://linked.open...ontrolniKodProRIV	[DC4857151C21]
http://linked.open...v/mistoKonaniAkce	Pittsburgh, USA
http://linked.open...i/riv/mistoVydani	Pittsburgh, USA
http://linked.open...i/riv/nazevZdroje	INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Assistence, information and communication services based on advanced voice technology
http://linked.open...UplatneniVysledku	2006
http://linked.open...iv/tvurceVysledku	Nouza, Jan Silovský, Jan Červa, Petr
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2006-01-01 (xsd:date)
issn	1990-9772
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	ISCA-INST SPEECH COMMUNICATION ASSOC
https://schema.org/isbn	978-1-60423-449-7
http://localhost/t...ganizacniJednotka	24220

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