sQLEAR, our machine learning based QoE predictor, has been going through extensive testing and validation in live network scenarios and new use case development since we released our previous white paper sQLEAR Q&A focusing on how sQLEAR compares to other available voice QoE testing solutions.
What’s inside
- Key benefits of leveraging a network centric approach
- What you need to know about machine learning based voice quality predictors
- sQLEAR lab and field trials validation results from customers
- Supported test scenarios
Download our whitepaper to explore sQLEAR and its validated performance in live networks, as confirmed by our customers.
Discussion on the performance of Infovista’s network centric voice QoE predictor
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