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> The MMS code and model weights are released under the CC-BY-NC 4.0 license. Huge bummer. Prevents almost everyone from using this and recouping their costs. I suppose motivated teams could reproduce the paper in a clean room, but that might also be subject to patents.
Meta on a roll. any demo on how good the text to speech is ?
Come to think about it, Meta is a much better name for an AI company than a VR company.
> The MMS code and model weights are released under the CC-BY-NC 4.0 license. Huge bummer. Prevents almost everyone from using this and recouping their costs. I suppose motivated teams could reproduce the paper in a clean room, but that might also be subject to patents.
The copyright on the code, on the other hand, would definitely be copyrighted and would need a clean-room implementation, as you said. The community could pool its resources and do it once, and license it under the AGPL to keep it and further improvements available to everyone.
Meta on a roll. any demo on how good the text to speech is ?
Doesn't seem like there's a demo set up by them yet, but you can just download the model weights and run the inference yourself and compare it to OpenAI Whisper or anything you have access to.
Wow, I didn't even know there was 7,000 documented languages in the world!
"According to the World Atlas of Languages' methodology, there are around 8324 languages, spoken or signed, documented by governments, public institutions and academic communities. Out of 8324, around 7000 languages are still in use." https://en.wal.unesco.org/discover/languages
This looks huge. Anyone know how this compares with Whisper in terms of quality and speed?
[1] https://ai.facebook.com/blog/multilingual-model-speech-recog...