VyvoData: Data Management and Preprocessing Tools for HF Datasets
🛠️ Installation
uv venv --python 3.12
source .venv/bin/activate
uv pip install -e .
🎙️ Usage
from vyvodata.tools.audiobox_aesthetics.infer import audiobox_aesthetics_predict
results = audiobox_aesthetics_predict(
input_file="path/to/audio/file.wav",
ckpt="facebook/audiobox-aesthetics",
batch_size=1,
)
😍 Contributing
uv pip install pre-commit
pre-commit install
pre-commit run --all-files
📜 License
This project is licensed under the terms of the Apache License 2.0.
🤗 Citation
@article{tjandra2025aes,
title={Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound},
author={Andros Tjandra and Yi-Chiao Wu and Baishan Guo and John Hoffman and Brian Ellis and Apoorv Vyas and Bowen Shi and Sanyuan Chen and Matt Le and Nick Zacharov and Carleigh Wood and Ann Lee and Wei-Ning Hsu},
year={2025},
url={https://arxiv.org/abs/2502.05139}
}
Metadata
Release files for vyvodata 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vyvodata-0.0.4.tar.gz | 69.2 kB | Details |
Release files / vyvodata-0.0.4.tar.gz
| Download URL | vyvodata-0.0.4.tar.gz |
|---|---|
| Size | 69.2 kB |
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