Instructions to use voices/VCTK_British_English_Females with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voices/VCTK_British_English_Females with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="voices/VCTK_British_English_Females")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("voices/VCTK_British_English_Females", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Example Use (from within model directory):
tts --text "this is Text for Tee tee ess" --out_path speech.wav --model_path checkpoint_85000.pth --config_path config.json --speakers_file_path vctk_speakers.json --speaker_idx VCTK_p277 --language_idx en
VCTK_p225: 23 year old female, English accent (Southern England)
VCTK_p228: 22 year old female, English accent (Southern England)
VCTK_p229: 23 year old female, English accent (Southern England)
VCTK_p230: 22 year old female, English accent (Stockton-on-tees)
VCTK_p231: 23 year old female, English accent (Southern England)
VCTK_p233: 23 year old female, English accent (Staffordshire)
VCTK_p236: 23 year old female, English accent (Manchester)
VCTK_p239: 22 year old female, English accent (Southwest England)
VCTK_p240: 21 year old female, English accent (Southern England)
VCTK_p244: 22 year old female, English accent (Manchester)
VCTK_p250: 22 year old female, English accent (Southeast England)
VCTK_p257: 24 year old female, English accent (Southern England)
VCTK_p267: 23 year old female, English accent (Yorkshire)
VCTK_p268: 23 year old female, English accent (Southern England)
VCTK_p269: 20 year old female, English accent (Newcastle)
VCTK_p276: 24 year old female, English accent (Oxford)
VCTK_p277: 23 year old female, English accent (Northeast England)
VCTK_p282: 23 year old female, English accent (Newcastle)
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