Evaluation in Music Information Retrieval

被引:17
|
作者
Urbano, Julian [1 ]
Schedl, Markus [2 ]
Serra, Xavier [3 ]
机构
[1] Univ Carlos III Madrid, Dept Comp Sci, Leganes, Spain
[2] Johannes Kepler Univ Linz, Dept Computat Percept, A-4040 Linz, Austria
[3] Univ Pompeu Fabra, Mus Technol Grp, Barcelona, Spain
基金
奥地利科学基金会;
关键词
Music Information Retrieval; Text Information Retrieval; Evaluation and experimentation; Survey; RELEVANCE; AUDIO; BIAS;
D O I
10.1007/s10844-013-0249-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The field of Music Information Retrieval has always acknowledged the need for rigorous scientific evaluations, and several efforts have set out to develop and provide the infrastructure, technology and methodologies needed to carry out these evaluations. The community has enormously gained from these evaluation forums, but we have reached a point where we are stuck with evaluation frameworks that do not allow us to improve as much and as well as we want. The community recently acknowledged this problem and showed interest in addressing it, though it is not clear what to do to improve the situation. We argue that a good place to start is again the Text IR field. Based on a formalization of the evaluation process, this paper presents a survey of past evaluation work in the context of Text IR, from the point of view of validity, reliability and efficiency of the experiments. We show the problems that our community currently has in terms of evaluation, point to several lines of research to improve it and make various proposals in that line.
引用
收藏
页码:345 / 369
页数:25
相关论文
共 50 条
  • [1] Evaluation in Music Information Retrieval
    Julián Urbano
    Markus Schedl
    Xavier Serra
    Journal of Intelligent Information Systems, 2013, 41 : 345 - 369
  • [2] The music information retrieval evaluation exchange (2005-2007): A window into music information retrieval research
    Downie, J. Stephen
    ACOUSTICAL SCIENCE AND TECHNOLOGY, 2008, 29 (04) : 247 - 255
  • [3] Statistical evaluation of music information retrieval experiments
    Flexer, Arthur
    JOURNAL OF NEW MUSIC RESEARCH, 2006, 35 (02) : 113 - 120
  • [4] Music information retrieval
    Wieczorkowska, AA
    Ras, ZW
    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2003, 21 (01) : 5 - 8
  • [5] Music information retrieval
    Pardo, Bryan
    COMMUNICATIONS OF THE ACM, 2006, 49 (08) : 28 - 31
  • [6] Music information retrieval
    Commun ACM, 2006, 8 (29-31):
  • [7] Music information retrieval
    Downie, JS
    ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, 2003, 37 : 295 - 340
  • [8] The scientific evaluation of music information retrieval systems: Foundations and future
    Downie, JS
    COMPUTER MUSIC JOURNAL, 2004, 28 (02) : 12 - 23
  • [9] Performance evaluation of TreeQ and LVQ classifiers for music information retrieval
    Charami, Matina
    Halloush, Rami
    Tsekeridou, Sofia
    ARTIFICIAL INTELLIGENCE AND INNOVATIONS 2007: FROM THEORY TO APPLICATIONS, 2007, : 331 - +
  • [10] Music information retrieval systems
    Birmingham, W
    Meek, C
    O'Malley, K
    Pardo, B
    Shifrin, J
    DR DOBBS JOURNAL, 2003, 28 (09): : 50 - 53