DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim D.-S. | ko |
dc.contributor.author | Tarraf A. | ko |
dc.date.accessioned | 2013-03-06T19:28:25Z | - |
dc.date.available | 2013-03-06T19:28:25Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | BELL LABS TECHNICAL JOURNAL, v.12, no.1, pp.221 - 236 | - |
dc.identifier.issn | 1089-7089 | - |
dc.identifier.uri | http://hdl.handle.net/10203/88160 | - |
dc.description.abstract | Non-intrusive estimation of speech quality is a challenging problem in that the estimation has to be performed without the original reference speech signals. This paper presents a new American national standard (ANS) for non-intrusive estimation of narrowband speech quality. The proposed auditory non-intrusive quality estimation plus (ANIQUE+) model is a perceptual model simulating the functional roles of the human auditory system and employs improved modeling of quality estimation by a statistical learning paradigm. Experimental evaluation demonstrated that the performance of the ANIQUE+ model is significantly superior to that of the current International Telecommunication Union-Telecommunication Standardization Sector (ITU-T) standard recommendation P563 on 34 different subjective mean opinion score (MOS) databases. (c) 2007 Alcatel-Lucent. | - |
dc.language | English | - |
dc.publisher | JOHN WILEY & SONS INC | - |
dc.title | ANIQUE+: A new American national standard for non-intrusive estimation of narrowband speech quality | - |
dc.type | Article | - |
dc.identifier.wosid | 000247127300016 | - |
dc.identifier.scopusid | 2-s2.0-34547286393 | - |
dc.type.rims | ART | - |
dc.citation.volume | 12 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 221 | - |
dc.citation.endingpage | 236 | - |
dc.citation.publicationname | BELL LABS TECHNICAL JOURNAL | - |
dc.identifier.doi | 10.1002/bltj.20228 | - |
dc.contributor.localauthor | Kim D.-S. | - |
dc.contributor.nonIdAuthor | Tarraf A. | - |
dc.type.journalArticle | Article | - |
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