Instructions to use voices/VCTK_British_English_Males with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voices/VCTK_British_English_Males with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="voices/VCTK_British_English_Males")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("voices/VCTK_British_English_Males", 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_p226 --language_idx en
VCTK_p226: 22 year old male, English accent (Surrey)
VCTK_p227: 38 year old male, English accent (Cumbria)
VCTK_p232: 23 year old male, English accent (Southern England)
VCTK_p243: 22 year old male, English accent (London)
VCTK_p254: 21 year old male, English accent (Surrey)
VCTK_p256: 24 year old male, English accent (Birmingham)
VCTK_p258: 22 year old male, English accent (Southern England)
VCTK_p259: 23 year old male, English accent (Nottingham)
VCTK_p270: 21 year old male, English accent (Yorkshire)
VCTK_p273: 23 year old male, English accent (Suffolk)
VCTK_p274: 22 year old male, English accent (Essex)
VCTK_p278: 22 year old male, English accent (Cheshire)
VCTK_p279: 23 year old male, English accent (Leicester)
VCTK_p286: 23 year old male, English accent (Newcastle)
VCTK_p287: 23 year old male, English accent (York)
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