Performance improvement of a non-intrusive voice quality metric in lossy networks

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorNunes, Rodrigo Dantas-
Autor(es): dc.creatorRosa, Renata Lopes-
Autor(es): dc.creatorRodríguez, Demóstenes Zegarra-
Data de aceite: dc.date.accessioned2026-02-09T12:25:30Z-
Data de disponibilização: dc.date.available2026-02-09T12:25:30Z-
Data de envio: dc.date.issued2020-05-13-
Data de envio: dc.date.issued2020-05-13-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/40869-
Fonte completa do material: dc.identifierhttps://ieeexplore.ieee.org/document/8948432-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1161039-
Descrição: dc.descriptionVoice quality assessment of phone calls is a relevant task for mobile service providers. In this context, the main objective of this research is to provide a model that improves the performance of ITU-T Rec. P.563. To accomplish this objective, the proposed model considers two aspects, better response in lossy network and adequate treatment of silences segments into the audio signal. Thus, a function is determined to suppress silences in the speech signal according to the packet loss rate value. Furthermore, the proposed model is implemented on both a voice quality server and a mobile device. Experimental results show that P.563 algorithm performance was really improved by the proposed model, approximating its results to those given by P.862 algorithm, reaching a Pearson correlation coefficient of 0.9957 and a root mean square error of 0.2983. Moreover, subjective test results demonstrated that the proposed model results overcome those obtained by the P.563 algorithm.-
Idioma: dc.languageen-
Publicador: dc.publisherInstitute of Electrical and Electronic Engineers-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceIET Communications-
Palavras-chave: dc.subjectCorrelation theory-
Palavras-chave: dc.subjectMean square error methods-
Palavras-chave: dc.subjectMobile handsets-
Palavras-chave: dc.subjectSpeech processing-
Título: dc.titlePerformance improvement of a non-intrusive voice quality metric in lossy networks-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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