Within the last 15 years, the field of Music Information Retrieval (MIR) has made tremendous progress in the development of algorithms for organizing and analyzing the ever-increasing large and varied amount of music and music-related data available digitally. However, the development of content-based methods to enable or ameliorate multimedia retrieval still remains a central challenge. In this perspective paper, we critically look at the problem of automatic chord estimation from audio recordings as a case study of content-based~…
CITATION STYLE
Crayencour, H.-C., & Cella, C.-E. (2019). Learning, Probability and Logic: Toward a Unified Approach for Content-Based Music Information Retrieval. Frontiers in Digital Humanities, 6. https://doi.org/10.3389/fdigh.2019.00006
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