Instructions to use alphacep/vosk-tts-ru-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alphacep/vosk-tts-ru-multi with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alphacep/vosk-tts-ru-multi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
This is multispeaker Russian TTS model for Vosk.
Voices included (3 females and 2 males):
- F01 (Tiflocomp Irina)
- F02 (trained on Natasha from Sova)
- F03 (Artificial voice)
- M01 (Artificial voice)
- M02 (Artificial voice)
The model is easily finetuned to any voice, see
https://github.com/alphacep/vosk-tts/tree/master/training#finetuning-for-your-own-voice
The checkpoint corresponds to vosk-model-tts-ru-0.7-multi
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