Post
3090
Kokoro: a small, fast 80M param TTS model hosted on ZeroGPU at
hexgrad/Kokoro-TTS
- 3 replies
Yanis L PRO
Pendrokar
AI & ML interests
STT/STS/TTS you know, something that is solveable
Recent Activity
updated
a dataset
3 minutes ago
Pendrokar/TTS_Arena
updated
a dataset
13 minutes ago
Pendrokar/TTS_Arena
updated
a dataset
about 1 hour ago
Pendrokar/TTS_Arena
Organizations
Pendrokar's activity
reacted to
hexgrad's
post with 🔥
5 days ago
posted
an
update
6 days ago
Post
778
Added
@amphion
MaskGCT &
@hexgrad
StyleTTS fine tuned model by the name of kokoro to the forked TTS Arena Space. If things keep up from what is seen in the preliminary results, then these two may end up in the TOP 5 of all TTS models. 🤞️🍀️
Pendrokar/TTS-Spaces-Arena
Svngoku/maskgct-audio-lab
hexgrad/Kokoro-TTS
I chose @Svngoku 's forked HF space over amphion's due to the overly high ZeroGPU duration demand on the latter. 300s!
amphion/maskgct
Had to remove @mrfakename 's MetaVoice-1B Space from the available models as that space has been down for quite some time. 🤕️
mrfakename/MetaVoice-1B-v0.1
I'm close to syncing the code to the original Arena's code structure. Then I'd like to use ASR in order to validate and create synthetic public datasets from the generated samples. And then make the Arena multilingual, which will surely attract quite the crowd!
Pendrokar/TTS-Spaces-Arena
Svngoku/maskgct-audio-lab
hexgrad/Kokoro-TTS
I chose @Svngoku 's forked HF space over amphion's due to the overly high ZeroGPU duration demand on the latter. 300s!
amphion/maskgct
Had to remove @mrfakename 's MetaVoice-1B Space from the available models as that space has been down for quite some time. 🤕️
mrfakename/MetaVoice-1B-v0.1
I'm close to syncing the code to the original Arena's code structure. Then I'd like to use ASR in order to validate and create synthetic public datasets from the generated samples. And then make the Arena multilingual, which will surely attract quite the crowd!
- 1 reply
reacted to
mrfakename's
post with 👍
30 days ago
Post
4433
I just released an unofficial demo for Moonshine ASR!
Moonshine is a fast, efficient, & accurate ASR model released by Useful Sensors. It's designed for on-device inference and licensed under the MIT license!
HF Space (unofficial demo): mrfakename/Moonshine
GitHub repo for Moonshine: https://github.com/usefulsensors/moonshine
Moonshine is a fast, efficient, & accurate ASR model released by Useful Sensors. It's designed for on-device inference and licensed under the MIT license!
HF Space (unofficial demo): mrfakename/Moonshine
GitHub repo for Moonshine: https://github.com/usefulsensors/moonshine
replied to
their
post
about 1 month ago
TTS-AGI/TTS-Arena's button for downloading the DB data was available for a short while. The reason for removal must have been the unreviewed user submitted entries within the spokentext table. I've cleaned it up:
https://huggingface.co/datasets/Pendrokar/TTS_Arena_DB
replied to
their
post
about 1 month ago
Link to Spaces fork: https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena
Link to Original Arena: https://huggingface.co/spaces/TTS-AGI/TTS-Arena
posted
an
update
about 1 month ago
Post
628
How the 🗣🏆 leaderboard of a merged TTS Arena with the 🤗 Spaces fork would look like. These results are somewhat unreliable as some models have not challenged the other in the list. And the original TTS Arena used only narration type sentences.
-
- 2 replies
posted
an
update
about 1 month ago
Post
1362
Made a notable change to the TTS Arena fork. I do not think anyone is interested in which bottomfeeder TTS is better than another beside it. So one of the top 5 TTS is always chosen in a challenge for more scrutiny. Also these top 5 are taken from preliminary results.
Pendrokar/TTS-Spaces-Arena
Pendrokar/TTS-Spaces-Arena
reacted to
mrfakename's
post with 👍
6 months ago
Post
8400
Introducing StyleTTS 2 detector, an audio classification model to detect StyleTTS 2 vs human-generated content!
Dual-licensed under MIT/Apache 2.0.
Model Weights: mrfakename/styletts2-detector
Spaces: mrfakename/styletts2-detector
Dual-licensed under MIT/Apache 2.0.
Model Weights: mrfakename/styletts2-detector
Spaces: mrfakename/styletts2-detector
- 2 replies