Text-to-Speech
Core ML
Supertonic
speech
audio
tts
ane
apple-silicon
flow-matching
diffusion
multilingual
Instructions to use FluidInference/supertonic-3-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Supertonic
How to use FluidInference/supertonic-3-coreml with Supertonic:
from supertonic import TTS tts = TTS(auto_download=True) style = tts.get_voice_style(voice_name="M1") text = "The train delay was announced at 4:45 PM on Wed, Apr 3, 2024 due to track maintenance." wav, duration = tts.synthesize(text, voice_style=style) tts.save_audio(wav, "output.wav")
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4abeabc02f4ce24b442789b503e6174cff83254a063e1c55c6a3740e0f4f4f71
- Size of remote file:
- 18 MB
- SHA256:
- 7c7afa5d02426a8a363c9cef0e27ce64a5c57a67d1a59f60aac0ac58ffb9877f
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