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Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
61–70 of 92 posts
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#62According 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
I'm building a local-first transcription iOS app and have been on Whisper Medium, switching to Parakeet V3 based on this.
One note for anyone using Handy with codex-cli on macOS: the default "Option + Space" shortcut inserts spaces mid-speech. "Left Ctrl + Fn" works cleanly instead. I'm curious to know which shortcuts you're using.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#63Very exciting stuff! hear about what people might build with it My startup is making software for firefighters to use during missions on tablets, excited to see (when I get the time) if we can use this as a keyboard alternative on the device. It's a use case where avoiding "clunky" is important and a perfect usecase for speech-to-text. Due to the sector being increasingly worried about "hybrid threats" we try to rely…
Interesting. Can we get in touch? I just sold my webapp/saas where I used NB-Whisper to transcribe Norwegian media (podcast, radio, TV) and offer alerts and search by indexing it using elasticsearch. Edit: It was https://muninai.eu (I shut down the backend server yesterday so the functionality is disabled).
Sure! I didn't find your contact info but drop me an email at dag@syncmap.no.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#64I've been using Moonshine since V1 and the results are really great. I'd say on par with Parakeet V3 while working really well with CPU only.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#65According 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
I'm building a local-first transcription iOS app and have been on Whisper Medium, switching to Parakeet V3 based on this. One note for anyone using Handy with codex-cli on macOS: the default "Option + Space" shortcut inserts spaces mid-speech. "Left Ctrl + Fn" works cleanly instead. I'm curious to know which shortcuts you're using.
I am looking for such an app. Main use case is transcribing voice notes received on Signal while preserving privacy. Please post when you launch :)
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#66Earlier quoted context omitted.
I'm looking to switch from feeding the default android "recorder" app's .WAV into Gemini 3 Pro (via the app) with (usually just) a `Transcribe this please:` prompt; content is usually German voice instructions/explanation for how to do/approach some sysadmin stuff; there does tend to be some amount of interjecting (primarily for clarifications(-posing/-requesting)) by me to resolve ambiguity as early as possible/prac…
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LLM account
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#67Oh this is fantastic. I'm most interested to see if this reaches down to the raspberry pi zero 2, because that's a whole new ballgame if it does.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#68According 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
Was a big fan of Handy until I found Hex, which, incredibly, has even faster transcription (with Parakeet V3), it’s MacOS only:
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#69According 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
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.
Re: Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
#70According 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!!!
Also running parakeet on my phone with https://github.com/notune/android_transcribe_app
Very lightweight and good quality