Which program does support it to allow streaming? Currently using spokenly and parakeet but would like to transition to a model that is streaming instead of transcribing chunk wise.
Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
71–80 of 92 posts
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#72According to the OpenASR Leaderboard [1], looks like Parakeet V2/V3 and Canary-Qwen (a Qwen finetune) handily beat Moonshine. All 3 models are open, but Parakeet is the smallest of the 3. I use Parakeet V3 with Handy and it works great locally for me. [1]: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard
To this comment and all the other comments talking about handy below this comment. I tried handy right now and it's super amazing. I'm speaking this from Handy. This is so cool, man.
And handy even takes care of all the punctuation, which is really nice.
Thanks a lot for suggesting it to me. I actually wanted something like this, and I was using something like Google Docs, and it required me to use Chrome to get the speech to text version, and I actually ended up using Orion for that because Orion can actually work as a Chrome for some reason while still having both Firefox and Chrome extension support. So and I had it installed, but yeah.
This is really amazing and actually a sort of lifesaver actually, so thanks a lot, man.
Now I can actually just speak and this can convert this to text without having to go through any non-local model or Google Docs or whatever anything else.
Why is this so good man? It's so good
man, I actually now am thinking that I had like fully maxed out my typing speed to like hundred-120. But like this can actually write it faster. you know it's pretty amazing actually.
Have a nice day, or as I abbreviate it, HAND, smiley face. :D
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#73[flagged]
Tangentially, have you got any idea what the equivalent "partial tokens revised" rate for humans is? I know I've consciously experienced backtracking and re-interpreting words before, and presumably it happens subconsciously all the time. But that means there's a bound on how low it's reasonable to expect that rate to be, and I don't have an intuition for what it is.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#74Earlier quoted context omitted.
Was a big fan of Handy until I found Hex, which, incredibly, has even faster transcription (with Parakeet V3), it’s MacOS only: https://github.com/kitlangton/Hex
I tried this out but the brew command errors out saying it only works on macOS versions older than Sequoia. That's unfortunate. I think I can update my version but I have heard some bad things about performance from the newer update from my elder brother.
works fine on my MacOS w Tahoe
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#75Earlier quoted context omitted.
Parakeet V3 is over twice the parameter count of Moonshine Medium (600m vs 245m), so it's not an apples to apples comparison. I'm actually a little surprised they haven't added model size to that chart.
parakeet v3 has a much better RTFx than moonshine, it's not just about parameter numbers. Runs faster. https://huggingface.co/spaces/hf-audio/open_asr_leaderboard
It is about the parameter numbers if what you care about is edge devices with limited RAM. Beyond a certain size your model just doesn't fit, it doesn't matter how good it is - you still can't run it.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#76If it's using ONNX, can this be ported to Transformers.js?
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#77Earlier quoted context omitted.
Was a big fan of Handy until I found Hex, which, incredibly, has even faster transcription (with Parakeet V3), it’s MacOS only: https://github.com/kitlangton/Hex
I tried this out but the brew command errors out saying it only works on macOS versions older than Sequoia. That's unfortunate. I think I can update my version but I have heard some bad things about performance from the newer update from my elder brother.
> I tried this out but the brew command errors out saying it only works on macOS versions older than Sequoia.
Newer than Sequoia, you mean?
The brew recipe [1] says macOS >= 15.
Anyway, I'm on Sequoia — it's mostly better than Ventura, which was what my M2 MacBook Pro came with. I'm holding off upgrading to Tahoe (macOS 26), hoping they fix liquid glAss.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#78Open-weight STT models hitting production-grade accuracy is huge for privacy-sensitive deployments. Whisper was already impressive, but having competitive alternatives means we're not locked into a single model family. The real test will be multilingual performance and edge device efficiency—has anyone benchmarked this on M-series or Jetson?
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#79Earlier quoted context omitted.
Parakeet V3 is over twice the parameter count of Moonshine Medium (600m vs 245m), so it's not an apples to apples comparison. I'm actually a little surprised they haven't added model size to that chart.
parakeet v3 has a much better RTFx than moonshine, it's not just about parameter numbers. Runs faster. https://huggingface.co/spaces/hf-audio/open_asr_leaderboard
That was my experience when I tried Moonshine against Parakeet v3 via Handy. Moonshine was noticeably slower on my 2018-era Intel i7 PC, and didn't seem as accurate either. I'm glad it exists, and I like the smaller size on disk (and presumably RAM too). But for my purposes with Handy I think I need the extra speed and accuracy Parakeet v3 is giving me.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#80Earlier quoted context omitted.
hmmm looks like assembyAI is still unbeatable here in terms of cost/performance unless im mistaken edit: holy shit parakeet is good.... Moonshine impressive too and it is half the param Now if only there was something just as quick as Parakeet v3 for TTS ! Then I can talk to codex all day long!!!
Also running parakeet on my phone with https://github.com/notune/android_transcribe_app Very lightweight and good quality
This is actually pretty impressive. What kinda phone are you using? Are you noticing any drain on battery heat?Do you think it's possible to get this working with Flutter on iOS?