About: Incorporation of the ASR output in speaker segmentation and clustering within the task of speaker diarization of broadcast streams

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About: Incorporation of the ASR output in speaker segmentation and clustering within the task of speaker diarization of broadcast streams Goto Sponge NotDistinct Permalink

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this paper we study the effect of incorporation of automatic transcriptions in the speaker diarization process. We aim to improve both the diarization accuracy as evaluated by standard objective measures and quality of the diarization output from user’s perspective. Although the presented approach relies on output of an automatic speech recognizer, it makes no use of lexical information. Instead, we use information about word boundaries and classification of non-speech events occurring in the processed stream. The former information is used as constraining condition for speaker change-point candidates and the latter facilitate to neglect various vocal noise sounds that carry no speaker-specific information (considering representation of the signal by cepstral features) and thus harm the speaker’s representation. The experimental evaluation of the presented approach was carried out using the COST278 multilingual broadcast news database. We demonstrate that the approach yields improvement in terms of both speaker diarization and segmentation performance measures. Furthermore, we show that the number of change-points detected within words (and not at their boundaries) is significantly reduced. In this paper we study the effect of incorporation of automatic transcriptions in the speaker diarization process. We aim to improve both the diarization accuracy as evaluated by standard objective measures and quality of the diarization output from user’s perspective. Although the presented approach relies on output of an automatic speech recognizer, it makes no use of lexical information. Instead, we use information about word boundaries and classification of non-speech events occurring in the processed stream. The former information is used as constraining condition for speaker change-point candidates and the latter facilitate to neglect various vocal noise sounds that carry no speaker-specific information (considering representation of the signal by cepstral features) and thus harm the speaker’s representation. The experimental evaluation of the presented approach was carried out using the COST278 multilingual broadcast news database. We demonstrate that the approach yields improvement in terms of both speaker diarization and segmentation performance measures. Furthermore, we show that the number of change-points detected within words (and not at their boundaries) is significantly reduced. (en)
Title	Incorporation of the ASR output in speaker segmentation and clustering within the task of speaker diarization of broadcast streams Incorporation of the ASR output in speaker segmentation and clustering within the task of speaker diarization of broadcast streams (en)
skos:prefLabel	Incorporation of the ASR output in speaker segmentation and clustering within the task of speaker diarization of broadcast streams Incorporation of the ASR output in speaker segmentation and clustering within the task of speaker diarization of broadcast streams (en)
skos:notation	RIV/46747885:24220/12:#0002003!RIV13-TA0-24220___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(TA01011204)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Žďánský, Jindřich Červa, Petr Pražák, Jan 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	141097
http://linked.open...ai/riv/idVysledku	RIV/46747885:24220/12:#0002003
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	speaker diarization; broadcast transcription (en)
http://linked.open.../riv/klicoveSlovo	broadcast transcription speaker diarization
http://linked.open...ontrolniKodProRIV	[50D591EC1322]
http://linked.open...v/mistoKonaniAkce	Banff, Kanada
http://linked.open...i/riv/mistoVydani	Kanada
http://linked.open...i/riv/nazevZdroje	Proc. of IEEE conf. on Multimedia Signal Processing (MMSP)
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Living Archives
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Nouza, Jan Pražák, Jan Silovský, Jan Červa, Petr Žďánský, Jindřich
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000312670200021
http://linked.open.../riv/zahajeniAkce	2012-01-01 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-4673-4572-9
http://localhost/t...ganizacniJednotka	24220

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