Chatterbox-Multilingual-TTS
🌎
304
Chatterbox TTS supporting 23 languages
Mayowa Daniel
mayowadan
·
AI & ML interests
None yet
Recent Activity
liked
a Space
21 days ago
ResembleAI/Chatterbox-Multilingual-TTS
new activity
3 months ago
ibm-granite/granite-docling-258M:Hallucinations
new activity
3 months ago
ibm-granite/granite-docling-258M:Why is granite-docling-258M so slow?
Organizations
None yet
liked
a
Space
21 days ago
Hallucinations
3
#39 opened 3 months ago
by
ntsarb
Why is granite-docling-258M so slow?
🤝
1
19
#37 opened 3 months ago
by
hgarp-prozis
liked
a
model
4 months ago
Amazing work!
Where can I find the unminified code for the demo?
reacted to
hexgrad's
post with ➕
6 months ago
Post
4157
IMHO, being able & willing to defeat CAPTCHA, hCaptcha, or any other reasoning puzzle is a must-have for any Web-Browsing / Computer-Using Agent (WB/CUA).
I realize it subverts the purpose of CAPTCHA, but I do not think you can claim to be building AGI/agents without smoothly passing humanity checks. It would be like getting in a self-driving car that requires human intervention over speed bumps. Claiming AGI or even "somewhat powerful AI" seems hollow if you are halted by a mere CAPTCHA.
I imagine OpenAI's Operator is *able* but *not willing* to defeat CAPTCHA. Like their non-profit status, I expect that policy to evolve over time—and if not, rival agent-builders will attack that opening to offer a better product.
I realize it subverts the purpose of CAPTCHA, but I do not think you can claim to be building AGI/agents without smoothly passing humanity checks. It would be like getting in a self-driving car that requires human intervention over speed bumps. Claiming AGI or even "somewhat powerful AI" seems hollow if you are halted by a mere CAPTCHA.
I imagine OpenAI's Operator is *able* but *not willing* to defeat CAPTCHA. Like their non-profit status, I expect that policy to evolve over time—and if not, rival agent-builders will attack that opening to offer a better product.
- 2 replies
reacted to
hexgrad's
post with 👍
6 months ago
Post
6127
I wrote an article about G2P: https://hf.co/blog/hexgrad/g2p
G2P is an underrated piece of small TTS models, like offensive linemen who do a bunch of work and get no credit.
Instead of relying on explicit G2P, larger speech models implicitly learn this task by eating many thousands of hours of audio data. They often use a 500M+ parameter LLM at the front to predict latent audio tokens over a learned codebook, then decode these tokens into audio.
Kokoro instead relies on G2P preprocessing, is 82M parameters, and thus needs less audio to learn. Because of this, we can cherrypick high fidelity audio for training data, and deliver solid speech for those voices. In turn, this excellent audio quality & lack of background noise helps explain why Kokoro is very competitive in single-voice TTS Arenas.
G2P is an underrated piece of small TTS models, like offensive linemen who do a bunch of work and get no credit.
Instead of relying on explicit G2P, larger speech models implicitly learn this task by eating many thousands of hours of audio data. They often use a 500M+ parameter LLM at the front to predict latent audio tokens over a learned codebook, then decode these tokens into audio.
Kokoro instead relies on G2P preprocessing, is 82M parameters, and thus needs less audio to learn. Because of this, we can cherrypick high fidelity audio for training data, and deliver solid speech for those voices. In turn, this excellent audio quality & lack of background noise helps explain why Kokoro is very competitive in single-voice TTS Arenas.
reacted to
Jaward's
post with 🚀
6 months ago
Post
3495
Awesome intro to LLM course "Language Modeling from Scratch" by stanford. love the aesthetics behind the lecture notes, notes-in-code genius idea👍
Course site: https://stanford-cs336.github.io/spring2025/
Repo: https://github.com/stanford-cs336/spring2025-lectures
Videos: https://www.youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_
Course site: https://stanford-cs336.github.io/spring2025/
Repo: https://github.com/stanford-cs336/spring2025-lectures
Videos: https://www.youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_
- 2 replies
upvoted
2
articles
6 months ago
Article
Upgrading Kokoro: natural TTS for short bursts
•
31
Article
G2P Shrinks Speech Models
•
82
commented on
G2P Shrinks Speech Models
6 months ago
Love this explainer
Way more approachable than an academic paper
Noticed an issue with “live” in particular so I look forward to the neural augmentation for homonyms you’ve mentioned.
Let me know if you’d like any help with it whatsoever
commented on
Upgrading Kokoro: natural TTS for short bursts
6 months ago
This makes a huge difference.
I noticed kokoro handles like single Roman numerals better than anything OpenAI has to offer.
Thanks so much!
liked
a
Space
6 months ago
liked
a
model
6 months ago
