Journal of Information Processing Systems

  • 제14권1호
  • /
  • Pages.32-55
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  • 2018
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  • 1976-913X(pISSN)
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  • 2092-805X(eISSN)
한국정보처리학회 (Korea Information Processing Society)
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A Comparative Analysis of Music Similarity Measures in Music Information Retrieval Systems

  • Gurjar, Kuldeep (Dept. of Computer Science, Kangwon National University) ;
  • Moon, Yang-Sae (Dept. of Computer Science, Kangwon National University)
  • 투고 : 2017.11.13
  • 심사 : 2017.12.18
  • 발행 : 2018.02.28
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⟨ 이전 논문 다음 논문 ⟩

초록

The digitization of music has seen a considerable increase in audience size from a few localized listeners to a wider range of global listeners. At the same time, the digitization brings the challenge of smoothly retrieving music from large databases. To deal with this challenge, many systems which support the smooth retrieval of musical data have been developed. At the computational level, a query music piece is compared with the rest of the music pieces in the database. These systems, music information retrieval (MIR systems), work for various applications such as general music retrieval, plagiarism detection, music recommendation, and musicology. This paper mainly addresses two parts of the MIR research area. First, it presents a general overview of MIR, which will examine the history of MIR, the functionality of MIR, application areas of MIR, and the components of MIR. Second, we will investigate music similarity measurement methods, where we provide a comparative analysis of state of the art methods. The scope of this paper focuses on comparative analysis of the accuracy and efficiency of a few key MIR systems. These analyses help in understanding the current and future challenges associated with the field of MIR systems and music similarity measures.

키워드

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Fig. 1. Functionality of an MIR system.

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Fig. 2. Mechanism of feature extraction process.

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Fig. 3. Tree based representation of musical features.

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Fig. 4. Music genre classification.

Table 1. Comparative description of similarity measures

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Table 2. Application areas of MIR

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Table 3. Accuracy results from Robine et al. [30] during MIREX 2005

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