AI RESEARCH
EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents
arXiv CS.AI
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ArXi:2605.13841v1 Announce Type: cross Voice agents, artificial intelligence systems that conduct spoken conversations to complete tasks, are increasingly deployed across enterprise applications. However, no existing benchmark jointly addresses two core evaluation challenges: generating realistic simulated conversations, and measuring quality across the full scope of voice-specific failure modes. We present EVA-Bench, an end-to-end evaluation framework that addresses both.