#Voice AI
2 posts on Voice AI.
Why emotion models fall apart outside the lab (and what actually helps)
Speech emotion recognition looks solved on benchmarks and breaks on real calls. A researcher's tour of domain shift, speaker leakage, metric learning and self-supervised features.
Your MAU is not your load: capacity math for voice AI at scale
How to turn "a million users" into a latency budget, a concurrency number, KV-cache memory and a GPU count — with the formulas, not vibes.