Maybe not exactly what you’re looking for but I found this a few weeks ago github.com/k2-fsa/sherpa-onnx and I haven’t really seen anyone talk about it
I’ve been using the tts on android for navigation and its way better than rhvoice and espeak.
I did try stt on android and it worked great but I’ve never used stt before so I don’t know how good it is compared to other stt
This looks really cool, thanks for sharing! I’m a rhvoice user for tts and for stt I use Sayboard with vosk model because I cannot find a single application for Android besides google stuff that integrates as an assistant. I wonder if this does that or if they plan to, seems a bit out of scope for this project.
Not FOSS as it’s under another license, but there’s “FUTO Voice Input” if you’re looking for a local alternative to Google’s voice dictation on Android
I just tried this out. Besides the fact that it doesn’t stream and translates after speech is done, it’s absolutely fantastic. Of course, it would suffer in accuracy if it were translating a stream so I think that’s a plus instead of a minus, although some people might not think so.
This one of my most used apps at the moment, it works 100% on your device and is great for filling in search terms, for AI prompts , messages etc. The only downside is that it seems to have a character limit so it may not be what OP is looking for.
I can vouch for whisper.cpp . It’s not 100% perfect but it’s good enough to transcribe a half hour podcast with numerous speakers and which requires pretty minimal fixing afterwards.
OP, this is the best Speech-to-Text solution, IMO. I’ve used Whisper on Windows (link to GitHub) successfully to transcribe graduate-level class recordings with very minimal manual fixing, mostly only certain last names.
Not sure if it’s literally FOSS, but OpenAI’s Whisper is the best transcription I’ve ever used and the models are all free to download and use locally.
It’s still surreal to see OpenAI’s need for training data be so vast that they casually developed and open sourced a generational leap in transcription technology just so that they could scrape online videos better.
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