| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Fed Lavras, Lavras, MG - Brazil
Total Affiliations: 1
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| Document type: | Journal article |
| Source: | IET COMMUNICATIONS; v. 13, n. 20, p. 3401-3408, DEC 19 2019. |
| Web of Science Citations: | 0 |
| Abstract | |
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) | |
| FAPESP's process: | 15/24496-0 - Evaluation of the service of communication operators using the voice Quality Index |
| Grantee: | Demostenes Zegarra Rodriguez |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 18/26455-8 - Audio-Visual Speech Processing by Machine Learning |
| Grantee: | Miguel Arjona Ramírez |
| Support Opportunities: | Regular Research Grants |