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MSI-Bench: Evaluating Multi-Speaker Voice Interaction for Collaborative AI Agents

Paper recorded by Signals 4 on 2026-09-21 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-21 on arXiv · recorded by Signals 4 on 2026-09-22

Category: cs.CL · 自然语言处理 · first seen 2026-09-22

Abstract

Voice provides a natural and immediate interface for AI agents. Many settings in which voice agents could be useful, including meetings, households, and collaborative work, are inherently multi-speaker. Supporting these settings introduces challenges that are largely absent from one-on-one interaction. We introduce the Multi-Speaker Interaction Benchmark (MSI-Bench) for evaluating multi-speaker vo

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#10 most recent of 212 cs.CL papers we have recorded · ↑ newer: The Answer-Basin Representation Hypothesis: We Are Not Probing or Stee · ↓ older: When Quantization Preserves Accuracy but Not Evidence: Explanation-Awa
Cite this page: MSI-Bench: Evaluating Multi-Speaker Voice Interaction for Collaborative AI Agents: the #10 most recent of 212 cs.CL papers we have recorded (as of 2026-09-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/msi-bench-evaluating-multi-speaker-voice-interaction-for-collaborative-ai-agents.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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