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XTTSv2-Hi_ft
AOLCDROM/XTTSv2-Hi_ft
XTTSv2-Hi_ft is a text-to-speech model from AOLCDROM. Use it when you need text read aloud. It is set up for transformers.
XTTSv2 checkpoints finedtuned with the forked Coqui TTS (https://github.com/idiap/coqui-ai-TTS) for Hindi speech
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Repo size
28 GB
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6
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.pth28 GB · 100%
At a glance
- Task
- Text-to-Speech
- Library
- transformers
- Access
- Public
- Created
- Jul 3, 2024
- Updated
- Jul 5, 2024
- SHA
- 183daca6
Model card
From the Hugging Face model README
XTTSv2 checkpoints finedtuned with the forked Coqui TTS (https://github.com/idiap/coqui-ai-TTS) for Hindi speech
Trained using the Indic TTS Database (https://www.iitm.ac.in/donlab/tts/) and Mozilla Common Voice 18.0 Hindi dataset (https://commonvoice.mozilla.org/en/datasets)
Rename checkpoint to model.pth and replace original XTTSv2 model, or use according to how your implementation of XTTSv2.
The checkpoints with the highest step count may not be the best. I think the best quality output here is best_model_43036.pth Reference speaker audio files are in ./speakers-hi of this repo
Use language code 'hi' at inference for Hindi speech, use language code 'hi' with English text to generate English with the learned Hindi pronounciations.
- Task
- Text-to-Speech
- Library
- transformers
- Languages
- hi, en
- Created
- Jul 3, 2024
- Updated
- Jul 5, 2024