mazoza

4 ms·

1.
by mazoza 2y ago
I dont actually see any tokens used in the model. It seems like the model actually predicts latents and then VAE converts back to audio. More like Tortoise or XTTS
2.
by mazoza 2y ago
Can one of the authors explain what this actually means from the post? hertz-vae: a 1.8 billion parameter transformer decoder which acts as a learned prior for the audio VAE. The model uses a context of 8192 sampled latent representations (
3.
by mazoza 3y ago
meh this is not that good. Sounds quite boring.
4.
XTTSv1 Technical Notes(erogol.com)
2 points by mazoza 3y ago|0 comments
5.
Coqui Launches Prompt-to-Voice (DALL-E for Voice)(coqui.ai)
3 points by mazoza 4y ago|2 comments
6.
by mazoza 4y ago
I've been using Coqui Studio for a while now to generate AI voices for my video game project. It delivers most that is in the blogpost. I like it but I'd ask for a better API support if anyone sees this from Coqui.
7.
by mazoza 4y ago
It is a lot faster, has more languages and models and can run inference on even CPU with many of their models.
8.
Long-tail speech recognition Hackathon(coqui.ai)
4 points by mazoza 5y ago|1 comments
9.
by mazoza 5y ago
Coqui is hosting a week-long competition/hackathon for STT in long-tail languages. You will be able to train STT models for your favorite languages using CoquiSTT ...and you get free GPU (V-100) access in order to run your experiments.
10.
by mazoza 5y ago
I means it is faster than real time almost 10x So it is the contrary
11.
by mazoza 5y ago
https://github.com/coqui-ai/STT
12.
by mazoza 5y ago
I know the old speech team continues as Coqui https://github.com/coqui-ai/
13.
Mozilla ends development of Deep Speech and announces grant program(jioforme.com)
2 points by mazoza 5y ago|1 comments
14.
by mazoza 5y ago
It is sad seeing another Mozilla project going down to the hole. Also, why do they pay people to develop on something that is not being maintained?