Smol TTS models are here! OuteTTS-0.1-350M - Zero shot voice cloning, built on LLaMa architecture, CC-BY license! 🔥 
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Smol TTS models are here! OuteTTS-0.1-350M - Zero shot voice cloning, built on LLaMa architecture, CC-BY license! 🔥 
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> Pure language modeling approach to TTS
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> Pure language modeling approach to TTS
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> Zero-shot voice cloning
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> Zero-shot voice cloning
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> LLaMa architecture w/ Audio tokens (WavTokenizer)
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> LLaMa architecture w/ Audio tokens (WavTokenizer)
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> BONUS: Works on-device w/ llama.cpp ⚡
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> BONUS: Works on-device w/ llama.cpp ⚡
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Three-step approach to TTS:
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Three-step approach to TTS:
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> Audio tokenization using WavTokenizer (75 tok per second)
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> Audio tokenization using WavTokenizer (75 tok per second)
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> CTC forced alignment for  word-to-audio token mapping
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> CTC forced alignment for  word-to-audio token mapping
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> Structured prompt creation w/ transcription, duration, audio tokens
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> Structured prompt creation w/ transcription, duration, audio tokens
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The model is extremely impressive for 350M parameters! Kudos to the 
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The model is extremely impressive for 350M parameters! Kudos to the 
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OuteAI team on such a brilliant feat - I'd love to see this be applied on larger data and smarter backbones like SmolLM 🤗
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OuteAI team on such a brilliant feat - I'd love to see this be applied on larger data and smarter backbones like SmolLM 🤗
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Check out the models here: 
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Check out the models here: 
https://huggingface.co/collections/OuteAI/outetts-6728aa71a53a076e4ba4817c
OuteAI/outetts-6728aa71a53a076e4ba4817c
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https://huggingface.co/collections/OuteAI/outetts-6728aa71a53a076e4ba4817c
Smol TTS models are here! OuteTTS-0.1-350M - Zero shot voice cloning, built on LLaMa architecture, CC-BY license! 🔥 

> Pure language modeling approach to TTS
> Zero-shot voice cloning
> LLaMa architecture w/ Audio tokens (WavTokenizer)
> BONUS: Works on-device w/ llama.cpp ⚡

Three-step approach to TTS:

> Audio tokenization using WavTokenizer (75 tok per second)
> CTC forced alignment for  word-to-audio token mapping
> Structured prompt creation w/ transcription, duration, audio tokens

The model is extremely impressive for 350M parameters! Kudos to the 
OuteAI team on such a brilliant feat - I'd love to see this be applied on larger data and smarter backbones like SmolLM 🤗

Check out the models here: https://huggingface.co/collections/OuteAI/outetts-6728aa71a53a076e4ba4817c
👀
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