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Pendrokar

AI & ML interests

STT/STS/TTS you know, something that is solveable

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updated a dataset 42 minutes ago
Pendrokar/TTS_Arena
updated a dataset about 10 hours ago
Pendrokar/TTS_Arena
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Pendrokar's activity

replied to hexgrad's post 3 days ago
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The original Arena's threshold is at 700 votes. But I am sure Kokoro will hold the position. The voice quality actually sounds close to ElevenLabs.

But StyleTTS usually is not very emotional. So it will fail where Edge TTS does. The phrases where the voice has to be sad or angry. For example Parler Expresso was overly jolly.

reacted to hexgrad's post with ๐Ÿ”ฅ 3 days ago
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2672
self.brag(): Kokoro finally got 300 votes in Pendrokar/TTS-Spaces-Arena after @Pendrokar was kind enough to add it 3 weeks ago.
Discounting the small sample size of votes, I think it is safe to say that hexgrad/Kokoro-TTS is currently a top 3 model among the contenders in that Arena. This is notable because:
- At 82M params, Kokoro is one of the smaller models in the Arena
- MeloTTS has 52M params
- F5 TTS has 330M params
- XTTSv2 has 467M params
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reacted to hexgrad's post with ๐Ÿ‘ 6 days ago
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1294
@Respair just dropped Tsukasa: frontier TTS in Japanese Respair/Tsukasa_Speech
It's expressive, punches way above its weight class, and supports voice cloning. Go check it out! ๐Ÿš€
(Unmute the audio sample below after hitting play)
replied to their post 7 days ago
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True, a sample from the original dataset would probably be the best. My attempt to try to fetch one from Emilia dataset was unsuccessful as HF dataset viewer can only show the German samples. Emilia's homepage has a ASMR-y example prompt given.

replied to their post 9 days ago
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True about the narration style sample, but that still did not stop XTTS in surpassing F5. Both use the same sample.

posted an update 10 days ago
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TTS: Sorry, I just cannot get the hype behind F5 TTS. It has now gathered a thousand votes in the TTS Arena fork and **has remained in #8 spot** against the _mostly_ Open TTS adversaries.

The voice sample used is the same as XTTS. F5 has so far been unstable, being unemotional/monotone/depressed and mispronouncing words (_awestruck_).

If you have suggestions please give feedback in the following thread:
mrfakename/E2-F5-TTS#32
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reacted to hexgrad's post with ๐Ÿ”ฅ 17 days ago
posted an update 19 days ago
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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. ๐Ÿคž๏ธ๐Ÿ€๏ธ

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. ๐Ÿค•๏ธ

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!
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reacted to mrfakename's post with ๐Ÿ‘ about 1 month ago
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5024
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
replied to their post about 1 month ago
replied to their post about 1 month ago
posted an update about 1 month ago
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639
How the ๐Ÿ—ฃ๐Ÿ† leaderboard of a merged TTS Arena with the ๐Ÿค— 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.
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posted an update about 2 months ago
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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
reacted to mrfakename's post with ๐Ÿ‘ 6 months ago