Summary
The panel explored why voice AI still needs faster reasoning, stronger speech recognition, and more natural interaction before it feels reliably human. Speakers emphasized that enterprise voice agents depend on accurate capture, speaker identification, multilingual robustness, noise handling, and reduced LLM hallucinations to earn user trust.
Key Topics
5 key topics from Shawn Wen, Renate Nyborg, Alex Gay and Ivan Mehta at HumanX Amsterdam 2026. Thicker branches were mentioned more often in the talk.
Emotion, Intent and the Future of Voice AI
Click a topic to open it
Key Takeaways
- Prioritize accurate capture before automating downstream meeting actions.
- Design voice agents that sound capable, not robotic.
- Train language models directly for multilingual accuracy.
- Test denoising and ASR together before deployment.
- Verify summaries against transcripts when facts matter.
“if your original transcription didn't have the accuracy that you needed, all the follow-up actions that you have become flawed.”
Share
Up Next
RJ
WatchNext in agenda
The Next Interface: Why AI Needs Physical Products
Robert Brunner, Jennifer Strong
ai hardwareproduct design
N
WatchAlso on voice ai
Voice is the new OS
NNeil Zeghidour
voice aiconversational ai
RTJ
WatchRelated
Human Taste and Judgment in an AI-Mediated World
Rebecca Shostak, Timothy Young, Johnny Rohrbach, Katie Street
ai contenthuman judgment