@Article{          mor.ea2020-systematic,
    author       = {Mor, Bhavya and Garhwal, Sunita and Kumar, Ajay},
    year         = {2020},
    title        = {A Systematic Literature Review on Computational
                   Musicology},
    abstract     = {Heartbeat retains a musical rhythm and music speaks
                   whenever words fail. This paper provides a systematic
                   review of the papers related to computational musicology.
                   This surveys 136 papers in more than 40 Journals and
                   various Conference proceedings. The paper discusses the
                   computational aspects of various music operations such as
                   composition, analysis, retrieval, classification and
                   implicit learning. The authors evaluate the literature
                   based on multiple computational fields like formal
                   grammar, hidden Markov model, n-gram, finite-state
                   machine, finite-state transducer and artificial grammar
                   learning. The paper aims to generate a comprehensive
                   description of research on computational musicology.
                   Throughout the paper, the significant trends in research
                   on computational fields in music are summarized.},
    doi          = {10.1007/s11831-019-09337-9},
    isbn         = {0123456789},
    issn         = {18861784},
    journal      = {Archives of Computational Methods in Engineering},
    keywords     = {computational musicology},
    mendeley-tags= {computational musicology},
    number       = {3},
    pages        = {923--937},
    publisher    = {Springer Netherlands},
    url          = {https://doi.org/10.1007/s11831-019-09337-9},
    volume       = {27}
}

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