Voice AI that hears what other models miss.
Joined October 2020
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AirCaps AI retweeted
Blows my mind what a tiny team of AI-pilled engineers can pull off! 🤯
@tryaircaps’ A5S Async v1 ranks #1 on VoiceArena for figuring out who said what. Across their five public benchmarks, the next-best model makes 41% more errors. They’ve open-sourced the benchmark so you can check the results yourself.
Small team. Big swing. Incredible work, @madlavak!
cc @vkhosla @khoslaventures
Introducing A5S Async V1: the world's most accurate speech recognition model for speaker-attributed transcription.
#1 on VoiceArena, ahead of ElevenLabs, AssemblyAI, Deepgram, NVIDIA, Meta & more.
The next-best model makes 41% more errors across 5 public benchmarks.
And yes, every lab says they're #1. So we open-sourced our benchmark.
Try it now👇
AirCaps AI retweeted
Really excited about this model. The gap between us and previously SOTA STT models like ElevenLabs, Nvidia, AssemblyAI, Google, Meta is surprisingly large. Proud of our tiny team taking on the titans. Try it out on the AirCaps API, first 5h free.
Introducing A5S Async V1: the world's most accurate speech recognition model for speaker-attributed transcription.
#1 on VoiceArena, ahead of ElevenLabs, AssemblyAI, Deepgram, NVIDIA, Meta & more.
The next-best model makes 41% more errors across 5 public benchmarks.
And yes, every lab says they're #1. So we open-sourced our benchmark.
Try it now👇
AirCaps AI retweeted
🏆 A new leader on the Voice Arena Diarization + ASR board: AirCaps A5S Async v1 joins the 14 systems already scored and enters at rank #1.
To put this result in context, we evaluated all 15 systems on the same 139 held-out conversations with 2–8 speakers, counting overlapping speech throughout. cpWER measures how accurately a transcript captures words and assigns them to the right speakers.
AirCaps A5S Async v1 scores 23.89% cpWER overall and leads in both settings, with 24.91% cpWER in-person and 17.47% in online calls.
What's particularly interesting is where this lead comes from. AirCaps and Nemotron 3.5 Transcribe (#2) miss a similar share of words (9.29% vs. 8.32%), but AirCaps has a substantially lower substitution rate (10.88% vs. 18.43%) and fewer insertions (3.72% vs. 5.68%).
AirCaps maintains its lead when we resample the 139 conversations. Its overall cpWER showing a 95% confidence interval of 19.47%–28.58%.
Congratulations to the @tryaircaps team on the launch! 👏🏻
