Show Notes
Kim Isenberg and Peter Thum sit down with Hume AI’s Andrew Ettinger and Olya Ossipova to explore voice AI, emotion, and the challenge of measuring how well a model listens.
The conversation focuses on the information a transcript can miss: tone, hesitation, urgency, and the context behind someone’s words. We look at Hume’s VoiceEQ benchmark and Kairos evaluation platform, where human judgment remains essential, and how companies can evaluate voice models for the situations their customers actually encounter.
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