Viewing profile — divamgupta

Thanks a lot for the detailed feedback. We are working on some models which do not use a phonemizer

Lol

Haha interesting pivot!

The thing is that the new models keep coming every day. So it’s economically not feasible to make chips for a single model

This is our goal too.

It was not

We are still training the model. We expect the quality to go up in the next release. This is just a preview release :)

Thanks for running the benchmarks. Currently the models are not optimized yet. We will optimize loading etc when we release an SDK meant for production :)

This is just an early checkpoint. We hope that the quality will improve in the future.

Currently we don't have chunking enabled yet. We will add it soon. That will remove the length limitations.

That is our vision too!

We will try to get rid of dependencies.

We are working to fix that. Thanks

Hmm, we will look into it.

Mostly model size, and input size. Some models which use attention are O(N^2)

We have released just a preview of the model. We hope to get the model much better in the future releases.

Yup it runs on the web browser. https://clowerweb.github.io/kitten-tts-web-demo/

We will release an STT model as well.

Thanks

Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less…

Thanks for posting about our project in HN! I am one of the creators of KittenTTS Here is the link to our repo: https://github.com/KittenML/KittenTTS

I have made a Stable Diffusion implementation using Tensorflow / Keras. The weights have been ported from the original pytorch code. This code runs about 4x faster compared to the …

I will add it to diffusion bee soon.