Classifying Voice and Video Experience in Wi-Fi

With everyone working from home in the last few months, it was obvious that many people needed to upgrade their broadband connections. Voice and video calls constitute an increasingly important class of traffic that is carried over WiFi. The experience has not always been perfect and in some cases, even good enough. This is the topic that techies from Mojo networks (now Arista Networks) look in a talk at WLPC Phoenix 2018.

In the video below, a generic codec independent method for measuring the quality of voice and video calls (Skype, GotoMeeting, Hangouts etc.) using supervised machine learning has been presented.

The method involves building a regression model that provides call quality index using training data set comprising of parameters extracted from real data. The regression model is then applied on parameters extracted from live calls by the Access Points that are in the traffic path to measure the quality index of each call. The results aggregated and presented on the cloud dashboard provide real-time health of voice and video calls carried over the WiFi deployment.

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