Study and Application of Silence Model Adaptation for Use in Telephone Speech Recognition System

dc.contributor.authorNovotny, Jan
dc.contributor.authorSovka, Pavel
dc.contributor.authorUhlir, Jan
dc.coverage.issue3cs
dc.coverage.volume13cs
dc.date.accessioned2016-04-26T11:04:11Z
dc.date.available2016-04-26T11:04:11Z
dc.date.issued2004-09cs
dc.description.abstractThis paper addresses the problem of the mismatch between a silence model and background noises which often occurs in a telephone speech recognition system (SRS) application. At first, the use of parallel model combination (PMC) methods is studied with the respect to this application. Secondly, the effective adaptation of a silence model to various background noises is confirmed. Finally, an original method combining log-add PMC with a noise power spectral density estimation based on minimum statistics is proposed. The performed tests prove the benefit of the suggested method to the speech recognition results that is caused by the stability of speech vector selection under the influence of various background noises. The advantages can be seen in no extra voice activity detector and in a relatively low computational load.en
dc.formattextcs
dc.format.extent1-6cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2004, vol. 13, č. 3, s. 1-6. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58051
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2004/04_03_01_06.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectRobust speech recognitionen
dc.subjectsilence model adaptationen
dc.subjectparallel model combinationen
dc.titleStudy and Application of Silence Model Adaptation for Use in Telephone Speech Recognition Systemen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
04_03_01_06.pdf
Size:
175.49 KB
Format:
Adobe Portable Document Format
Description:
Collections