Fish Audio launches Live 3, a full-duplex speech model for voice agents with responses as low as 186 ms
11/11/2026 — 11/11, 14:18·2 sources (all)·2 reports (all)
Key takeaways
- Fish Audio has released Live 3, a full-duplex speech model built for voice agents that can listen continuously while speaking and distinguis…
Background & analysis
On November 11, 2026, X user TestingCatalog (@testingcatalog) reported that Fish Audio has released Live 3, its latest duplex voice model built for AI agents that operate phone calls. According to the post, Live 3 can distinguish a pause in the middle of reading a phone number from the end of a question. Its current reaction speed is under 200 milliseconds, though the exact usable range was not specified in the summary. No further updates have emerged since, and neither a separate official launch date nor a fuller feature list has been disclosed in the material available. No third-party tests or customer deployments are mentioned. As of this writing, the only public detail on Live 3 comes from that single report.
AI-generated from 1 reports · updated 3 days ago
Latest turnFish Audio released Live 3, a full-duplex voice model for voice agents, MarkTechPost reported. It listens while speaking, separates backchannel sounds like "mm-hmm" from genuine interruptions, and can react in as little as 186 ms. It is English-only at launch.
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Reports on this story headlines open the original
Fish Audio released Live 3, a full-duplex voice model for voice agents, MarkTechPost reported. It listens while speaking, separates backchannel sounds like "mm-hmm" from genuine interruptions, and can react in as little as 186 ms. It is English-only at launch.
MarkTechPostAI score 58Fish Audio has launched Live 3, a duplex voice model for AI agents that handle phone calls. TestingCatalog reports it can distinguish a pause while reading a phone number from the end of a question, and its current reaction speed is under 200 milliseconds. The model is aimed at live phone-call agents.
X：TestingCatalog (@testingcatalog)AI score 58
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