Name
Title | ||
|---|---|---|
An Effective Machine Learning (ML) Approach to Quality Assessment of Voice Over IP (VoIP) Calls |
Abstract | ||
|---|---|---|
This letter puts forward a supervised ML technique to determine the Quality of Experience (QoE) of VoIP calls. It takes its beginning from an investigation on VQmon, an enhanced E-model version that estimates the quality of IP-based voice calls adopting an objective approach. The current study demonstrates VQmon shortcomings via a comparison between the Mean Opinion Score (MOS) values this techniq... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LNET.2020.2984721 | IEEE Networking Letters |
Keywords | DocType | Volume |
Quality of experience,Logistics,Wideband,Codecs,Packet loss,Quality assessment | Journal | 2 |
Issue | Citations | PageRank |
2 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elena Cipressi | 1 | 0 | 0.34 |
| Maria Luisa Merani | 2 | 72 | 14.89 |