Hugging Face's logo
afrideva's picture
10 45 516

afrideva

afrideva
noxinc's profile picture ugnk's profile picture clem's profile picture
·

AI & ML interests

None yet

Recent Activity

upvoted an article 1 day ago
Building an African Cultural Dataset with SmoLAgents: Experimental
liked a model 1 day ago
NousResearch/DeepHermes-3-Llama-3-3B-Preview
reacted to hexgrad's post with 👍 about 1 month ago
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.
View all activity

Organizations

Keynote Technology's profile picture ZeroGPU Explorers's profile picture Social Post Explorers's profile picture M4-ai's profile picture TheSyndicateAI's profile picture

Collections 1