Instructions to use espnet/iamanigeeit_ljspeech_tts_fastspeech2_mfa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/iamanigeeit_ljspeech_tts_fastspeech2_mfa with ESPnet:
from espnet2.bin.tts_inference import Text2Speech model = Text2Speech.from_pretrained("espnet/iamanigeeit_ljspeech_tts_fastspeech2_mfa") speech, *_ = model("text to generate speech from") - Notebooks
- Google Colab
- Kaggle
TTS model trained with Montreal Forced Aligner.
To replicate or continue training from the given checkpoint, download LJSpeech,
install MFA
and follow the steps here.
I recommend downloading the pretrained MFA models and running mfa.sh with --train false.
This would help to save time, but one disadvantage is you have to use the MFA g2p for inference (which has a non-standard phoneme set).