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A Case for Reproducibility in MIR: Replication of ‘A Highly Robust Audio Fingerprinting System’ Cover

A Case for Reproducibility in MIR: Replication of ‘A Highly Robust Audio Fingerprinting System’

Open Access
|Sep 2018

Abstract

Claims made in many Music Information Retrieval (MIR) publications are hard to verify due to the fact that (i) often only a textual description is made available and code remains unpublished – leaving many implementation issues uncovered; (ii) copyrights on music limit the sharing of datasets; and (iii) incentives to put effort into reproducible research – publishing and documenting code and specifics on data – is lacking.

In this article the problems around reproducibility are illustrated by replicating an MIR work. The system and evaluation described in ‘A Highly Robust Audio Fingerprinting System’ is replicated as closely as possible. The replication is done with several goals in mind: to describe difficulties in replicating the work and subsequently reflect on guidelines around reproducible research. Added contributions are the verification of the reported work, a publicly available implementation and an evaluation method that is reproducible.

DOI: https://doi.org/10.5334/tismir.4 | Journal eISSN: 2514-3298
Language: English
Submitted on: Jul 17, 2017
Accepted on: Apr 5, 2018
Published on: Sep 4, 2018
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Joren Six, Federica Bressan, Marc Leman, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.