Data Usage in MIR: History & Future Recommendations

Authors

Wenqin Chen, Smith College
Jessica Keast, Smith College
Jordan Moody, Smith College
Corinne Moriarty, Smith College
Felicia Villalobos, Smith College
Virtue Winter, Smith College
Xueqi Zhang, Smith College
Xuanqi Lyu, Smith College
Elizabeth Freeman, Smith College
Jessie Wang, Smith College
Sherry Cai, Smith College
Katherine M. Kinnaird, Smith CollegeFollow

Document Type

Conference Proceeding

Publication Date

2019

Publication Title

20th International Society for Music Information Retrieval Conference, Delft, The Netherlands

Abstract

The MIR community faces unique challenges in terms of data access, due in large part to country-specific copyright laws. As a result, there is an emerging divide in the MIR research community between labs that have access to music through large companies with abundant funds, and independent labs at smaller institutions who do not have such expansive access. This paper explores how independent researchers have worked to overcome limitations of access to music data without contributing to the crisis of reproducibility. Acknowledging that there is no single solution for every data access problem that smaller labs face, we propose a number of possibilities for how the MIR community can bridge the gap between advancements from large companies and those within academia. As MIR looks towards the next 20 years, democratizing and expanding access to MIR research and music data is critical. Future solutions could include a distributed MIREX system, an API designed for MIR researchers, and community-led advocacy to stakeholders.

First Page

25

Last Page

32

DOI

10.5072/ZENODO.415282

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Rights

© Wenqin Chen, Jessica Keast, Jordan Moody, Corinne Moriarty, Felicia Villalobos, Virtue Winter, Xueqi Zhang, Xuanqi Lyu, Elizabeth Freeman, Jessie Wang, Sherry Cai, Katherine M. Kinnaird. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0)

Comments

Archived as published.

Recommended Citation

Wenqin Chen, Jessica Keast, Jordan Moody, Corinne Moriarty, Felicia Villalobos, Virtue Winter, Xueqi Zhang, Xuanqi Lyu, Elizabeth Freeman, Jessie Wang, Sherry Cai, Katherine M. Kinnaird. “Data Usage in MIR: History & Future Recommendations”, 20th International Society for Music Information Retrieval Conference, Delft, The Netherlands, 2019.