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Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model

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Re: Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model

#123

It is not the best TTS but it is freaking amazing it can be done by such a small model and it is good enough for so many use cases.

thanks, but keep in mind that this model is just a preview checkpoint that is only 10% trained. the full release next week will be of much higher quality and it will include a 15M model and an 80M model.

Re: Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model

#124
post #11

Earlier quoted context omitted.

Does anybody find it funny that sci-fi movies have to heavily distort "robot voices" to make them sound "convincingly robotic"? A robotic, explicitly non-natural voice would be perfectly acceptable, and even desirable, in many situations. I don't expect a smart toaster to talk like a BBC host; it'd be enough is the speech if easy to recognize.

This one is at least an interesting idea: https://genderlessvoice.com/

It doesn't sound genderless.

Re: Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model

#125

amazing! can't wait to integrate it into https://desktop.with.audio I'm already using KokorosTTS without a GPU. It works fairly well on Apple Silicon. Foundational tools like this open up the possiblity of one-time payment or even free tools.

would love to see how that turns out. the full model release next week will be more expressive and higher quality than this one so we're excited to see you try that out.

Re: Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model

#126

System Requirements Works literally everywhere Haha, on one of my machines my python version is too old, and the package/dependencies don't want to install. On another machie the python version is too new, and the package/dependencies don't want to install.

Python man

Re: Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model

#127
post #8

Web version: https://clowerweb.github.io/kitten-tts-web-demo/ It sounds ok, but impressive for the size.

On PC it's a python dependency hell but someone managed to package it in self contained JS code that works offline once it loaded the model? How is that done?
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