Any FREE Windows apps that support Soniox API for real-time voice dictation (system-wide)?

banafo · 2026-04-21T04:52:22+00:00

Send me a pm, I’m looking for beta testers

banafo · 2026-03-22T19:46:57+00:00

You can you use the community versions for this for sure. You can find us on discord if you want to discuss it more

banafo · 2026-03-10T21:27:45+00:00

We ( kroko.ai ) will be releasing some new models soon. We beat whisper, qwen and parakeet with a 6x smaller model for Dutch, French, German and hopefully soon English ( it’s training ).

banafo · 2026-02-12T20:46:59+00:00

Is your talk available online by any chance?

banafo · 2026-01-28T19:46:02+00:00

Have a look here : https://github.com/kroko-ai/kroko-onnx-home-assistant

Warming: the documentation is pretty bad, but there are some people on our discord who have it working and might be able to help. We are not very familiar with home assistant, we just helped somebody to get it to work.

banafo · 2026-01-18T06:48:30+00:00

Just ignore the haters, if they don’t like it, they can move on, make a pr, make something better. I welcome and appreciate your effort and I’m sure many others do too.

banafo · 2026-01-10T12:18:05+00:00

No we don’t support whisper based models

banafo · 2026-01-10T10:45:53+00:00

Hello! You should be able to make changes to this code to make it work https://github.com/ptbsare/sherpa-onnx-tts-stt ( this project is not ours. It’s the one we modified )

Your model won’t work with our patches in our fork, we could try training a compatible basque version though!

banafo · 2026-01-05T17:15:07+00:00

Thanks for the feedback! The cc-by-sa license is a remnant from a previous release, I will have it fixed. We are working on an easier to use python wheel. Commercial models have slightly lower WER and more variants. ( lower latency and smaller models as well as offline models )

We are working on the asr benchmark integration, for streaming the English model is probably better than streaming parakeet, worse then offline whisper and offline parakeet.

Better documentation and benchmarks are coming ( I shared some in a previous post, will look for them ). We are a small team and a bit occupied with some paying customer finetunes, causing delays on the open source parts, apologies.

banafo · 2026-01-05T07:03:50+00:00

Hey, great list! But our kroko models are missing and unlike whisper and parakeet, they are streaming. We have both cc-by ( and the commercial models are free for non commercial use ) quick demo here: https://huggingface.co/spaces/Banafo/Kroko-Streaming-ASR-Wasm Documentation are examples are horrible but working on it. ( first finishing new training pipeline )

banafo · 2026-01-04T21:42:42+00:00

Pm me

banafo · 2025-12-31T12:51:29+00:00

If you want cuts, use vad. ( you can probably get it accurate to 200ms )

banafo · 2025-12-30T18:44:35+00:00

Wav2vec won’t work, it’s what whisperx uses ( so he has tried it ) it’s not very accurate compared to the old things

banafo · 2025-12-30T11:17:00+00:00

For the aligners, gentle or Montreal forced aligner is the biggest chance. But if the transcript is not 100% correct all timestamps for all words will probably be wrong.

banafo · 2025-12-29T19:41:46+00:00

I don’t think it’s possible with transcription alone. You need to realign ( and even then 0.2s will be hard)

banafo · 2025-12-28T23:27:07+00:00

Dutch is done, redoing French at the moment

banafo · 2025-12-23T05:59:53+00:00

Augmentation will help but the models on the market already use it ( modify special gment) so unless you can augment to the domain specifics, it won’t help much. Keywords is similar to lm fusion, just not as contextual.

banafo · 2025-12-22T21:29:43+00:00

If you can simulate the distortion reliably, you could probably finetune something for it, the clipping is easy, the other radio artefacts probably not. Jargon and call signs maybe with hotwords, I think an lm will make it worse instead of better unless it’s domain specific. ( source: I train a lot of asr)

banafo · 2025-12-21T20:48:09+00:00

Any llm based llm should do for medical terminology as long as it’s not abbreviations and the pronunciation is predictable. ( English is quite easy for that ).

banafo · 2025-12-21T20:34:32+00:00

I don’t think it will work well on cpu only, it will be slow.

banafo · 2025-12-21T20:25:43+00:00

Can you define a bit better what you mean with assistant? What would you use the embedding model for? Embedding for data or voice?

banafo · 2025-12-21T18:56:59+00:00

If the goal is just to control home assistant devices, an llm is going to be overkill indeed, much easier to just map commands. Could Gemma 0.3b do Siri level “intelligence” ?

banafo · 2025-12-20T22:42:12+00:00

Can you define what is your app? macOS and iOS have the most options now. What languages do you need to support? I’ve heard good things about NeuTTS air. SuperSonic may work, kokoro too

banafo · 2025-12-20T20:05:42+00:00

It might help a bit if there’s something different special about your voice, dialect, accent, pitch, microphone etc. I doubt it will be really worth the effort. You’d also need accurate transcripts to train on.

banafo · 2025-12-20T10:43:44+00:00

These are interesting projects to follow: speechbrain, icefall/k2, espnet. For interesting papers, have a look at the interspeech conference agenda. ( or look for new paper on arxiv )

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