Jarvis: A Proactive Speech Agent for Multi-Party Conversations
Quick summary
arXiv:2610.07506v1 Announce Type: cross Abstract: Speech agents are reactive and dyadic: they speak when spoken to, and to one person at a time. We ask what it takes for a speech agent to instead take part in a conversation among several people and speak up only when it can help. We introduce Jarvis, a real-time proactive speech agent that audibly participates in multi-party human conversations. Grounded in a document shared beforehand, Jarvis follows the discussion and intervenes when the group misses or misstates a fact and does not correct itself within a few turns. We make three contributi
Key takeaways
- arXiv:2610.07506v1 Announce Type: cross Abstract: Speech agents are reactive and dyadic: they speak when spoken to, and to one person at a time.
- We ask what it takes for a speech agent to instead take part in a conversation among several people and speak up only when it can help.
- We introduce Jarvis, a real-time proactive speech agent that audibly participates in multi-party human conversations.
Why it matters
The importance of “Jarvis: A Proactive Speech Agent for Multi-Party Conversations” will be measured by what changes in practice. User behavior, access conditions, verifiable performance and responsible-use outcomes are the signals worth following.
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