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#voice-agents

2 curated events
papersTODAY 04:00 UTC

Benchmark tests entity extraction accuracy in multi-turn voice agent dialogues

Researchers released tau-Elicitation, a 200-task benchmark that measures how well voice agents capture specific entities such as names, addresses, identifiers, dates, and times across multi-turn conversations. The set spans ten entity types with controlled difficulty levels, aiming to pinpoint the exact turn where information capture breaks down. The authors argue that end-to-end evaluations hide these failure points, making targeted diagnosis difficult.

benchmarks/voice-agents/agents/speech
papersSEP 10 04:00 UTC

EVA-Bench: An End-to-End Framework for Evaluating Voice Agents

A new research paper introduces EVA-Bench, a benchmark for assessing voice agents across the entire interaction pipeline. It combines simulated conversations that mimic real usage with metrics tailored to voice-specific behaviors, filling a gap left by earlier evaluation tools that handled these aspects separately. The work responds to the growing deployment of voice agents in enterprise applications.

benchmark/voice-agents/evaluation/research