fyi the typepad link in your bio is broken
Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
31–40 of 92 posts
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#32According 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!!!
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#33[deleted]
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#34According 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!!!
Parakeet doesn't require a GPU. I'm handily running it on my Ubuntu Linux laptop.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#35According 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
By the way, I've been using a Whisper model, specifically WhisperX, to do all my work, and for whatever reason I just simply was not familiar with the Handy app. I've now downloaded and used it, and what a great suggestion. Thank you for putting it here, along with the direct link to the leaderboard. I can tell that this is now definitely going to be my go-to model and app on all my clients.
I have to ask- I see this handy app running on Mac and you hold a key down and then it doesn't show until seemingly a while later.
The one built in is much faster, and you only have to toggle it on.
Are these so much more accurate? I definitely have to correct stuff, but pretty good experience.
Also use speech to text on my iphone which seems to be the same accuracy.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#36Earlier 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!!!
Parakeet doesn't require a GPU. I'm handily running it on my Ubuntu Linux laptop.
you are right i just downloaded it on handy and its working i can't believe it
i was using assmeblyAI but this is fast and accurate and offline wtf!
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#37According 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
Handy is amazing. Super quality app.
It really is. It's kinda ridiculous that it's free.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#38According 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.
So I'm kinda new to this whole parakeet and moonshine stuff, and I'm able to run parakeet on a low end CPU without issues, so I'm curious as to how much that extra savings on parameters is actually gonna translate.
Oh and I type this in handy with just my voice and parakeet version three, which is absolutely crazy.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#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.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#40Very exciting stuff!
hear about what people might build with it
Due to the sector being increasingly worried about "hybrid threats" we try to rely on the cloud as little as possible and run things either on device or with the possibility of being self-hosted/on-premise. I really like the direction your company is going in in this respect.
We'd probably need custom training -- we need Norwegian, and there's some lingo, e.g., "bravo one two" should become "B-1.2". While that can perhaps also be done with simple post-processing rules, we would also probably want such examples in training for improved recognition? Have no VC funding, but looking forward to getting some income so that we can send some of it in your direction :)