Superwhisper trains their own S1 models for this, you can use either a smaller local version of them or a beefier one in the cloud
replyno it's a really old and bad stt model i am using parakeet v3 here which is way superior
replyIs there anything better for speech to text model?
replyYes, parakeet. Ive switched all my apps to using it. Fantastic model
replyThat is great! Just no fast inference like cerebras or groq support it
replyParakeet is blindingly fast on modern hardware. My MacBook is just so fast, it's not even funny. But despite that, I still often use OpenWhisper because it just does better for accented voices. I also fine-tuned Qwen ASR on my voice, and that one is faster than Open Whisper, but I think I might even go back to Open Whisper eventually Because it still makes a lot of weird mistakes And I think it is over-indexed towards the fine tune And substitutes quite often wrong dictionary words for ambiguous words.
replyopenwhispr dx is really bad, i made this product because i was tired that no one is working on accuracy and dx in general.
replybetterwispr main goal is to have accuracy and best dx possible.
Server side though?
replyparakeet v3 betterwispr uses that.
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