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:
- f70837326ef46e28424ad345fea9d6944dfbfc4db8e49b7d85f65c24a458576c
- Size of remote file:
- 93.5 kB
- SHA256:
- ccb56ff515b7d41cf79d21d6be2f2d23a31a295810950dd86e39620f9629cad4
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