Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/40869
Título: Performance improvement of a non-intrusive voice quality metric in lossy networks
Palavras-chave: Correlation theory
Mean square error methods
Mobile handsets
Speech processing
Data do documento: 2019
Editor: Institute of Electrical and Electronic Engineers
Citação: NUNES, R. D.; ROSA, R. L.; RODRÍGUEZ, D. Z. Performance improvement of a non-intrusive voice quality metric in lossy networks. IET Communications, [S.l.], v. 13, n. 20, p. 3401-3408, 2019.
Resumo: Voice 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.
URI: https://ieeexplore.ieee.org/document/8948432
http://repositorio.ufla.br/jspui/handle/1/40869
Aparece nas coleções:DCC - Artigos publicados em periódicos

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