Speech, Speaker and Speaker\'s Gender Identification in Automatically Processed Broadcast Stream

dc.contributor.authorSilovsky, Jan
dc.contributor.authorNouza, Jan
dc.coverage.issue3cs
dc.coverage.volume15cs
dc.date.accessioned2016-04-22T06:15:03Z
dc.date.available2016-04-22T06:15:03Z
dc.date.issued2006-09cs
dc.description.abstractThis paper presents a set of techniques for classification of audiosegments in a system for automatic transcription of broadcast programs. The task consists in deciding a) whether the segment is to be labeled as speech or a non-speech one, and in the former case, b) whether the talking person is one of the speakers in the database, and if not, c) which gender the speaker belongs to. The result of the classification is used to extend the information provided by the transcription system and also to enhance the performance of the speech recognition module. Like the most of the state-of-the-art speaker recognition systems, the proposed one is based on Gaussian Mixture Models (GMM). As the number of the database speakers can be large, we introduce a technique that speeds up the identification process in significant way. Furthermore, we compare several approaches to the estimation of GMM parameters. Finally, we present the results achieved in classification of 230 minutes of real broadcast data.en
dc.formattextcs
dc.format.extent42-48cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2006, vol. 15, č. 3, s. 42-48. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/57963
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2006/06_03_42_48.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectSpeaker recognitionen
dc.subjectGaussian mixture modelsen
dc.subjectbroadcast speech transcriptionen
dc.titleSpeech, Speaker and Speaker\'s Gender Identification in Automatically Processed Broadcast Streamen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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