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vits-base-sw-KE-OpenBible
bookbot/vits-base-sw-KE-OpenBible
vits-base-sw-KE-OpenBible is a text-to-speech model from bookbot. Use it when you need text read aloud. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
VITS Base sw-KE-OpenBible is an end-to-end text-to-speech model based on the VITS architecture. This model was trained from scratch on a real audio dataset. The list of real speakers include:
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At a glance
- Task
- Text-to-Speech
- Library
- transformers
- License
- cc-by-sa-4.0
- Access
- Public
- Created
- Apr 27, 2024
- Updated
- Apr 27, 2024
- SHA
- 1b701035
Datasets
Model card
From the Hugging Face model README
VITS Base sw-KE-OpenBible
VITS Base sw-KE-OpenBible is an end-to-end text-to-speech model based on the VITS architecture. This model was trained from scratch on a real audio dataset. The list of real speakers include:
- sw-KE-OpenBible
The model's vocabulary contains the different IPA phonemes found in gruut.
This model was trained using VITS framework. All training was done on a Scaleway L40S VM with a NVIDIA L40S GPU. All necessary scripts used for training could be found in the Files and versions tab, as well as the Training metrics logged via Tensorboard.
Model
| Model | SR (Hz) | Mel range (Hz) | FFT / Hop / Win | #epochs |
|---|---|---|---|---|
| VITS Base sw-KE-OpenBible | 44.1K | 0-null | 2048 / 512 / 2048 | 12000 |
Training procedure
Prepare Data
python preprocess.py \
--text_index 1 \
--filelists filelists/sw-KE-OpenBible_text_train_filelist.txt filelists/sw-KE-OpenBible_text_val_filelist.txt \
--text_cleaners swahili_cleaners
Train
python train.py -c configs/sw_ke_openbible_base.json -m sw_ke_openbible_base
Frameworks
- PyTorch 2.2.2
- VITS
- Task
- Text-to-Speech
- Library
- transformers
- License
- cc-by-sa-4.0
- Languages
- sw
- Created
- Apr 27, 2024
- Updated
- Apr 27, 2024