Rodyti trumpą aprašą

dc.contributor.authorPaulikas, Šarūnas
dc.contributor.authorItani, Mohamad
dc.date.accessioned2023-09-18T18:33:54Z
dc.date.available2023-09-18T18:33:54Z
dc.date.issued2009
dc.identifier.other(BIS)VGT02-000022383
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/129187
dc.description.abstractThis paper investigates the performance of CELP speech codecs over different languages. The English language has had a dominating influence in the advance of telecommunications. With many of the major developments coming from primarily English speaking areas there is the risk that these advances may not be linguistically robust. It is noted that quality of a speech produced by voice codecs mainly is assessed using samples of English language. Some investigation show that language influence to codecs performance could be noticed. In order to judge the performance of the most popular CELP voice codecs (Speex and AMR), we encoded and decoded the speech samples from three different languages: English, Arabic and Lithuanian. The quality of transformed speech signals was estimated using two quality estimation algorithms 3SQM (ITU recommendations P.563) and PESQ (ITU recommendations P.862). The experiments results showed quality bias toward the English language—the scores were higher and the performance was more stable.eng
dc.format.extentp. 55-60
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyIEEE Xplore
dc.relation.isreferencedbyINSPEC
dc.titleAssessment of CELP codecs quality in multi-lingual environment
dc.typeStraipsnis konferencijos darbų leidinyje kitoje DB / Paper in conference publication in other DB
dcterms.references11
dc.type.pubtypeP1c - Straipsnis konferencijos darbų leidinyje kitoje DB / Article in conference proceedings in other DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.enSpeech signal processing
dc.subject.enSpeech coding
dc.subject.enMulti-lingual speech processing
dc.subject.enQuality estimation
dcterms.sourcetitleThe 9th IEEE International Symposium on Signal Processing and Information Technology. December 14–17, 2009, Ajman, UAE
dc.description.volumeVol. 1
dc.publisher.nameIEEE
dc.publisher.cityAjman
dc.identifier.elaba3933943


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Rodyti trumpą aprašą