Instructions to use augustZheng/TTS-Core-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Supertonic
How to use augustZheng/TTS-Core-AI 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
Update re-converted Supertonic 64x32 iOS Core AI assets
Browse files- TTSCoreAILab/SupertonicResources/coreai-assets/supertonic_duration_predictor_64x32.aimodel/main.hash +1 -1
- TTSCoreAILab/SupertonicResources/coreai-assets/supertonic_duration_predictor_64x32.aimodel/main.mlirb +2 -2
- TTSCoreAILab/SupertonicResources/coreai-assets/supertonic_text_encoder_64x32.aimodel/main.hash +1 -1
- TTSCoreAILab/SupertonicResources/coreai-assets/supertonic_text_encoder_64x32.aimodel/main.mlirb +2 -2
- TTSCoreAILab/SupertonicResources/coreai-assets/supertonic_vector_estimator_64x32.aimodel/main.hash +1 -1
- TTSCoreAILab/SupertonicResources/coreai-assets/supertonic_vector_estimator_64x32.aimodel/main.mlirb +2 -2
- TTSCoreAILab/SupertonicResources/coreai-assets/supertonic_vocoder_64x32.aimodel/main.hash +2 -1
- TTSCoreAILab/SupertonicResources/coreai-assets/supertonic_vocoder_64x32.aimodel/main.mlirb +2 -2
TTSCoreAILab/SupertonicResources/coreai-assets/supertonic_duration_predictor_64x32.aimodel/main.hash
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