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

Autor(es)

Nunes, Rodrigo Dantas ^[1] ; Rosa, Renata Lopes ^[1] ; Rodriguez, Demostenes Zegarra ^[1]

Afiliação do(s) autor(es)

^[1] Univ Fed Lavras, Lavras, MG - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IET COMMUNICATIONS; v. 13, n. 20, p. 3401-3408, DEC 19 2019.
• Citações Web of Science: 0

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. (AU)

• Processo FAPESP: 15/24496-0 - Avaliação do serviço das operadoras de comunicações utilizando o índice de qualidade de voz
• Beneficiário: Demostenes Zegarra Rodriguez
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 18/26455-8 - Processamento Audiovisual de Voz por Aprendizagem de Máquina
• Beneficiário: Miguel Arjona Ramírez
• Modalidade de apoio: Auxílio à Pesquisa - Regular