Comment by deepsquirrelnet
20 hours ago
You could try ours. They're very small and english only right now (training Spanish now). But they're a CPU optimized architecture and even the largest size will work on a single thread with realtime streaming.
https://huggingface.co/collections/futo-org/asr4all
You can run them client-side using wasm-simd. I setup a space for the small sized model. There's a big step up in accuracy going to the medium size though:
> https://huggingface.co/collections/futo-org/asr4all
Any reason why are these ethical use 1.0 license and not a simpler MIT license? FUTO keyboard itself is also not open source but rather source available, which is not ideal imo.
That's fascinating. Are these for your keyboard?
You may have gone too fast honestly. Something like parakeet runs fast enough and seems to have much lower wer
Yep exactly! Streaming models have to run faster, because they're more compute heavy. Some compute from every batch is wasted when the next set of frames come in. Streaming models also have higher WER than fully offline models.
Our models are more comparable to nemotron-3.5-asr-streaming in that regard and I think the medium/large sizes do perform quite favorably. For offline models, I don't think it's worthwhile for us to try and compete with parakeet v2/3. Those are already really good, and we're in the process of adding those to FUTO Voice.
These models are filling some gaps we see for the kinds of things we tend to work on. But broadly they can slot into a lot of places where there isn't accelerated compute (Raspberry pi 4, laptops, local client side transcription, etc).
I'm curious. How you acquire data for the learning and how more data it needs to learn a new language? Scraping films, movies, politicians talking, YouTube and similiar resources?