Publications

What’s Broken in Music Informatics Research? Three Uncomfortable Statements

Machine Learning for Music Discovery workshop, International Conference on Machine Learning (ICML)

Publication date: June 15, 2019

Justin Salamon

The goal of this paper is to raise awareness to a number of issues impacting research in Music Informatics (MIR), with the hope that it will encourage us, as a community, to address them. It is not my goal to provide a comprehensive review of the literature related to these issues. Given the limited extent of this paper some of the statements I will make are purposely simplified, when in fact the issue is more nuanced. My hope is that the paper serves as a starting point for a conversation. A recording of the talk accompanying this paper is available on the paper’s companion website.

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Research Areas:  Adobe Research iconAI & Machine Learning Adobe Research iconAudio