Instructions to use AEmotionStudio/pocket-tts-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Pocket-TTS
How to use AEmotionStudio/pocket-tts-models with Pocket-TTS:
from pocket_tts import TTSModel import scipy.io.wavfile tts_model = TTSModel.load_model("AEmotionStudio/pocket-tts-models") voice_state = tts_model.get_state_for_audio_prompt( "hf://kyutai/tts-voices/alba-mackenna/casual.wav" ) audio = tts_model.generate_audio(voice_state, "Hello world, this is a test.") # Audio is a 1D torch tensor containing PCM data. scipy.io.wavfile.write("output.wav", tts_model.sample_rate, audio.numpy()) - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Mirror kyutai/pocket-tts-without-voice-cloning@e81d79e8194ad4c7ce879c87a4258ef20cbf2487 (english, french_24l, german, spanish, italian, portuguese)
b31ea54 verified