Enno Hermann
Enno Hermann
Thanks for the quick feedback! That separate conversion will do for me.
> The vast majority of sidewalk=separate uses in India are sidewalk=no. If entire countries don't have a single use that matches the description, that is not a widely understood tag....
We've completely dropped the dependency on Pandas in our fork, which should allow you to avoid such conflicts: https://github.com/idiap/coqui-ai-TTS (PyPI package: [coqui-tts](https://pypi.org/project/coqui-tts))
This is fixed in our fork: https://github.com/idiap/coqui-ai-TTS
The codebase is licensed under [MPL 2.0](https://github.com/coqui-ai/TTS/blob/dev/LICENSE.txt) which is fairly permissive and allows commercial use already. As for the XTTS model license, [previous](https://github.com/coqui-ai/TTS/issues/3490#issuecomment-1878315151) [comments](https://github.com/coqui-ai/TTS/issues/3490#issuecomment-1878982722) indicate that it's unlikely to change.
This is fixed in our fork: https://github.com/idiap/coqui-ai-TTS Thanks for pointing it out.
I've fixed this in our fork: https://github.com/idiap/coqui-ai-TTS
I've merged this into [our fork](https://github.com/idiap/coqui-ai-TTS), thank you!
@AntonyZ89 This repository is not maintained anymore. You could use the [coqui-tts](https://pypi.org/project/coqui-tts/) package instead, which includes a similar fix.
FYI, we're continuing to maintain a fork of Coqui TTS: https://github.com/idiap/coqui-ai-TTS (PyPI package: [coqui-tts](https://pypi.org/project/coqui-tts/))