The white paper presents sQLEAR as a new approach to testing voice quality designed for modern, evolving mobile networks. As networks move toward real-time, automated, and QoE-centric service assurance, sQLEAR addresses the need for flexible evaluation, troubleshooting, and optimization. It is an AI-driven voice quality solution that uses advanced machine learning techniques to directly assess perceived voice quality without relying on traditional reference signals. The paper explains sQLEAR’s learning and evaluation process, the parameters it analyzes, and how it performs in live field conditions across different languages. It also examines its accuracy, comparison with other voice QoE solutions, and its capability to test new services such as Voice over New Radio.

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