content.raw: Smol TTS models are here! OuteTTS-0.1-350M - Zero shot voice cloning, built on LLaMa architecture, CC-BY license! 🔥 
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content.value: Smol TTS models are here! OuteTTS-0.1-350M - Zero shot voice cloning, built on LLaMa architecture, CC-BY license! 🔥 
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content.raw: > Pure language modeling approach to TTS
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content.value: > Pure language modeling approach to TTS
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content.raw: > Zero-shot voice cloning
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content.value: > Zero-shot voice cloning
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content.raw: > LLaMa architecture w/ Audio tokens (WavTokenizer)
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content.value: > LLaMa architecture w/ Audio tokens (WavTokenizer)
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content.raw: > BONUS: Works on-device w/ llama.cpp ⚡
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content.value: > BONUS: Works on-device w/ llama.cpp ⚡
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content.raw: Three-step approach to TTS:
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content.value: Three-step approach to TTS:
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content.raw: > Audio tokenization using WavTokenizer (75 tok per second)
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content.value: > Audio tokenization using WavTokenizer (75 tok per second)
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content.raw: > CTC forced alignment for  word-to-audio token mapping
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content.value: > CTC forced alignment for  word-to-audio token mapping
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content.raw: > Structured prompt creation w/ transcription, duration, audio tokens
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content.value: > Structured prompt creation w/ transcription, duration, audio tokens
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content.raw: The model is extremely impressive for 350M parameters! Kudos to the 
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content.value: The model is extremely impressive for 350M parameters! Kudos to the 
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content.raw: 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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content.value: 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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content.raw: Check out the models here: 
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content.value: Check out the models here: 
content.raw: https://huggingface.co/collections/OuteAI/outetts-6728aa71a53a076e4ba4817c
content.id: OuteAI/outetts-6728aa71a53a076e4ba4817c
content.type: collection
content.type: resource
content.url: https://huggingface.co/collections/OuteAI/outetts-6728aa71a53a076e4ba4817c
rawContent: 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
reactions.reaction: 👀
reactions.users: John6666 s3nh prudant aalisha