Soundata: reproducible use of audio datasets

Fuentes, Magdalena; Plaja-Roglans, Genís; Cortès Sebastià, Guillem; Khandelwal, Tanmay; Miron, Marius; Serra, Xavier; Bello, Juan Pablo; Salomon, Justin

doi:http://dx.doi.org/10.21105/joss.06634

Soundata: reproducible use of audio datasets

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Citation

Fuentes M, Plaja-Roglans G, Cortès-Sebastià G, Khandelwal T, Miron M, Bello JP, et al. Soundata: reproducible use of audio datasets. J Open Source Softw. 2024;9(98):6634. DOI: 10.21105/joss.06634

Abstract

Soundata is an open-source Python library for working with audio datasets in a programmatic and standardized way. It removes the need for writing custom loaders and improves reproducibility by providing tools to validate data against a canonical version. It speeds up research pipelines by allowing users to quickly download a dataset, validate that the dataset is complete and correct, and load it into memory in a standardized and reproducible way. It is designed to work with bioacoustics, environmental, urban, and spatial sound datasets; to be easy to use and easy to contribute to; and to increase reproducibility and standardize the usage of sound datasets in a flexible way.