High-Level Musical Content-Based Music Information Retrieval: A State-of-the-Art Review

Abstract

Music Information Retrieval (MIR) is an interdisciplinary field that involves automating music processing for the purpose of accessing and managing large music collections. Motivated by the rapid growth of digital music content, it encompasses a broad set of strategies from diverse disciplines. In this paper, we provide a task centric perspective of this field with particular emphasis on high level content analysis. We provide a general context to explain the contributions from various disciplines for those wishing to learn about this field. We also discuss challenges and future directions to stimulate further research.

Keywords: music analysis, information retrieval, machine learning, audio analysis, representation

DOI: 10.7176/JSTR/6-10-08