A Systematic Literature Review on Computational Musicology. Mor, B.; Garhwal, S.; and Kumar, A. Archives of Computational Methods in Engineering, 27(3):923–937, Springer Netherlands, 2020.
A Systematic Literature Review on Computational Musicology [link]Paper  doi  abstract   bibtex   
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.
@article{mor.ea2020-systematic,
  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.},
  author =       {Mor, Bhavya and Garhwal, Sunita and Kumar, Ajay},
  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},
  title =        {{A Systematic Literature Review on Computational
                  Musicology}},
  url =          {https://doi.org/10.1007/s11831-019-09337-9},
  volume =       27,
  year =         2020
}
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