Innovative ML-based algorithm enables unique network-centric prediction of voice quality of experience reducing cost and time to market of new 5G voice services Paris, France – December 2nd, 2021 – Infovista, the global leader in network lifecycle automation (NLA), today announced that its sQLEAR machine learning-based algorithm has been approved by ITU for QoE testing of mobile all-IP voice services, including Voice over LTE (VoLTE), Voice over New Radio (VoNR) and OTT voice. The sQLEAR algorithm (speech Quality by machine LEARning) is the world’s first ML-based standard for voice quality…
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