Jimmy Chen at Assembly AI. Voice AI Infrastructure!
San Francisco
Joined October 2026
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Jimmy Chen retweeted
@AssemblyAI Universal 3.6 Pro has the lowest WER on clean audio: 1.77%. Their final transcript lands 91ms after the caller stops
Jimmy Chen retweeted
Introducing AssemblyAI-TTS-1, our first text-to-speech model.
Natural speech for voice agents, streaming in 90 ms, at $15 per million characters. On accuracy, naturalness, and cost together, it’s the best TTS model you can run at scale.
Jimmy Chen retweeted
AssemblyAI-TTS-1 is live today: our first text-to-speech model.
On accuracy + naturalness + cost, no other TTS model is better.
Frontier quality, 80ms TTFB, instant voice cloning, 4,000+ voices, unlimited concurrency, and just $15 per 1M characters.
More info 👇
Jimmy Chen retweeted
We had so much fun at SF Tech Week that we're doing it again 👀
On October 6 we parked an ice cream truck in downtown San Francisco and handed out free scoops to the Voice AI community. Hundreds of you grabbed a scoop and chatted with us about the future of Voice AI.
So the truck is coming back.
🍦 Thursday, October 29
🕛 12:00 to 5:00 PM PT
🌉 Downtown SF (RSVP to get the address, one location this time)
Free ice cream. Bring your friends.
RSVP: luma.com/patxd4yk
Jimmy Chen retweeted
I’ll recommend something backed by data:
- Apple Dictation for Nigerian English has a 65 % word error rate.
- Blurt (open‑source, powered by AssemblyAI) has a 17 % error rate.
Jimmy Chen retweeted
@covaldev's latest streaming Speech-to-Text benchmark:
Universal-3.6 Pro has the lowest WER of any model tested.
Median time to final transcript dropped about a third this week:
3.6 Pro: 153 → 106 ms
3.5 Pro: 156 → 108 ms
Thanks to the Coval team for running these benchmarks in public every week.
Jimmy Chen retweeted
Gemini 4 Argon is live on LLM Gateway.
On Voice Standard Bench it posted the top dictation score of 50+ models (99.5) and returned faster than Gemini 3.8 Flash at every transcript length.
Model string: gemini-4-argon
Full results: assemblyai.com/blog/gemini-4…
Jimmy Chen retweeted
Who knew a nostalgic childhood toy could become a voice agent? 🧸🎤
For SF Tech Week, we brought the voice Al community together to give a Furby a voice upgrade using AssemblyAl's Voice Agent API.
From swear jar Furbies to karaoke sing-along Furbies, we loved seeing all the creative (and hilarious) ideas come to life!
Huge thanks to everyone who joined us, built something fun, and took home their very own Furby pal
