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:
- 7ac2c5a91ab0c2d9d754a242ca62ed4e66080bba1beb3d69df9e8343e42045e3
- Size of remote file:
- 243 Bytes
- SHA256:
- 982da75910aca2f5f0e2f813bf7db9ec201fbf4c71668d0f0a99eb2f9da983d0
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