Read the linked article.
Quick link to the video where he demos it: https://www.youtube.com/watch?v=kMliOFYBiz4
Great work!
ngl, it looks incredible
Thank you for this. I love your work on Curb Your Enthusiasm.
I made a little python wrapper around it to serve an HTTP endpoint that’s OpenAI/elevenlabs compatible https://github.com/clayrosenthal/bootlegger
Wow, it seems like this might beat out flite for very-low-memory TTS? I ended up abandoning a project of mine because I couldn’t get high enough quality or low enough memory usage out of flite, so I’m very excited to try this out.
Flite for comparison: https://github.com/festvox/flite
Do you have any accuracy benchmarks?
I’ve worked in this space. TTS in a small footprint isn’t the hard part —- it’s doing it accurately that’s hard.
Although for the use cases OP is targeting, lower accuracy may be good enough!
It looks great, thank you! I’ll see if I can use it for my in browser AI assistant project’s ( https://aidekin.com ) voice part. It’s currently using Nemotron-3.5-ASR and supertonic-3 but overall it requires 1.2gb download.
I installed the command line version using uv
uv init
uv add moonshine-voice
uv run moonshine-voice mic --language en
super nice to be able to run it to test it like this
good job on a clear readme.md tbh
If you look at this chart here it seems the tiny model has a WER of ~12%… not sure about the micro model:
https://github.com/moonshine-ai/moonshine#when-should-you-ch…
I’ve worked in this space. TTS in a small footprint isn’t the hard part —- it’s doing it accurately that’s hard.
This actually holds for everything in AI.
Very cool. I’ve done TTS on a 32K Arduino but it was pretty croaky. https://youtu.be/ErGDboTpwM0
That’s the error rate for STT, not TTS. TTS is generally easier than STT because you only need to produce one valid pronunciation and don’t need to handle variation within and between individuals.
For TTS I wonder how this compares to nanotts[1] with the en-GB voice, which is sort of unreasonably good.
this is good to see. i also trained a stt under 500kb for sub dollar chips. it had about 20 words that it could understand(like start, stop, left, right, go, up etc) and then the spell mode where you could say the word spell and then say the individual english alphabets and close with spell. it was super fun to work on. these tend to be extremely unstable though, like confusion between p and t (at least for my accent). will have to try this one now.
Very true!
uvx moonshine-voice mic --language en That is even simpler.
What work?
Possibly Cousin Andy? https://curb-your-enthusiasm.fandom.com/wiki/Andy_David
Played by the great Richard Kind, who my wife swears she saw on the Highline in NYC.