Python library for loading and working with sound datasets.
Project description
soundata
Python library for downloading, loading & working with sound datasets. Find the API documentation here.
Inspired by and based on mirdata. (https://github.com/soundata/soundata)
This library provides tools for working with common sound datasets, including tools for:
- Downloading datasets to a common location and format
- Validating that the files for a dataset are all present
- Loading annotation files to a common format
- Parsing clip-level metadata for detailed evaluations
Here's soundata's list of currently supported datasets.
Installation
To install, simply run:
pip install soundata
Quick example
import soundata
dataset = soundata.initialize('urbansound8k')
dataset.download() # download the dataset
dataset.validate() # validate that all the expected files are there
example_clip = dataset.choice_clip() # choose a random example clip
print(example_clip) # see the available data
See the documentation for more examples and the API reference.
Citing
@misc{fuentes_salamon2021soundata,
title={Soundata: A Python library for reproducible use of audio datasets},
author={Magdalena Fuentes and Justin Salamon and Pablo Zinemanas and Martín Rocamora and
Genís Plaja and Irán R. Román and Marius Miron and Xavier Serra and Juan Pablo Bello},
year={2021},
eprint={2109.12690},
archivePrefix={arXiv},
primaryClass={cs.SD}
}
When working with datasets, please cite the version of soundata that you are using AND include the reference of the dataset,
which can be found in the respective dataset loader using the cite() method.
Contributing a new dataset loader
We welcome and encourage contributions to this library, especially new datasets. Please see contributing for guidelines.
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