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Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

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Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

#41

Post by bytesandbits »

reitzensteinm wrote: post #19
Karrot_Kream wrote: post #12

According 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

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

Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

#42

Post by Ross00781 »

The streaming architecture looks really promising for edge deployments. One thing I'm curious about: how does the caching mechanism handle multiple concurrent audio streams? For example, in a meeting transcription scenario with 4-5 speakers, would each stream maintain its own cache, or is there shared state that could create bottlenecks?

Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

#43

Post by Dayshine »

agentifysh wrote: post #32
Karrot_Kream wrote: post #12

According 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

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!!!

What's wrong with piper?

Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

#44

Post by riedel »

RobotToaster wrote: post #39

> Models for other languages are released under the Moonshine Community License, which is a non-commercial license. Weird to only release English as open weights.

I find it an even more weird practice for anyone working with speech or text models not in the first paragraph name the language it is meant for (and I do not mean the programming language bindings). How many English native speakers are there 5% of the world population?

Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

#46

Post by namibj »

mkl wrote: post #24
bangaladore wrote: post #3

Earlier quoted context omitted.

There is a license blurb in the readme. > This code, apart from the source in core/third-party, is licensed under the MIT License, see LICENSE in this repository. > The English-language models are also released under the MIT License. Models for other languages are released under the Moonshine Community License, which is a non-commercial license. > The code in core/third-party is licensed according to the terms of the…

The LICENSE file that refers to is missing. There's one in the python folder, but not for the rest of the code.

IANAL.

Presuming (I haven't checked myself) the git author information supports this, it should be fine to treat this as licensing the code it specifies under MIT; based on that license name being (to my understanding) unambiguous and license application being based on contract law and contract law basically having at it's very core the principle of "meeting of the minds" along with wilful infringement being really really hard to even argue for if the only thing that's separating it from being 100% clearly licensed in all proper ways being not copying in an MIT `LICENSE` template with date and author name pasted into it.

Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

#47

Post by [deleted] »

ac29 wrote: post #7

No idea why 'sudo pip install --break-system-packages moonshine-voice' is the recommended way to install on raspi? The authors do acknowledge this though and give a slightly too complex way to do this with uv in an example project (FYI, you dont need to source anything if you use uv run)

[deleted]

Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

#48

Post by [deleted] »

namibj wrote: post #46
mkl wrote: post #24

Earlier quoted context omitted.

The LICENSE file that refers to is missing. There's one in the python folder, but not for the rest of the code.

IANAL. Presuming (I haven't checked myself) the git author information supports this, it should be fine to treat this as licensing the code it specifies under MIT; based on that license name being (to my understanding) unambiguous and license application being based on contract law and contract law basically having at it's very core the principle of "meeting of the minds" along with wilful infringement being really r…

[deleted]

Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

#49

Post by RobotToaster »

riedel wrote: post #44
RobotToaster wrote: post #39

> Models for other languages are released under the Moonshine Community License, which is a non-commercial license. Weird to only release English as open weights.

I find it an even more weird practice for anyone working with speech or text models not in the first paragraph name the language it is meant for (and I do not mean the programming language bindings). How many English native speakers are there 5% of the world population?

Approximately yes, although another 15% are non-native English speakers. Chinese is a close second for total speakers.

Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3

#50

Post by alfiedotwtf »

agentifysh wrote: post #37
tuananh wrote: post #29

Earlier quoted context omitted.

Handy is amazing. Super quality app.

It really is. It's kinda ridiculous that it's free.

Are voice or a transcript sent back to their servers? If so, you may be the product
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