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Computer System for Designing Musical Expressiveness in an Automatic Music Composition Process

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Bio-inspired Computing: Theories and Applications (BIC-TA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 951))

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Abstract

Artificial Intelligent Systems have shown great potential in the musical domain. One task in which these techniques have shown special promise is in the automatic music composition. This article describes the development of an algorithm for designing musical expressiveness for a tonal melody generated by computer. The method employed is based on a model of self-recognition of the harmonic structures contained in the melody and, by means of the “harmonic function” carried by every single one of these, provides useful information for the dynamics. The article is intended to demonstrate the effectiveness of the method by applying it to some (tonal) musical pieces of the 18th and of the 19th century. At the same time it is going to indicate ways to improve the method.

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Author information

Authors and Affiliations

  1. Department of Technology, Music Academy “Studio Musica”, Treviso, Italy

    Michele Della Ventura

Authors
  1. Michele Della Ventura
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Corresponding author

Correspondence to Michele Della Ventura .

Editor information

Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Jianyong Qiao

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Xinchao Zhao

  3. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  4. Beijing University of Posts and Telecommunications, Beijing, China

    Xingquan Zuo

  5. Anhui University, Hefei, China

    Xingyi Zhang

  6. City University of Hong Kong, Kowloon, Hong Kong

    Qingfu Zhang

  7. Beijing University of Posts and Telecommunications, Beijing, China

    Shanguo Huang

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Ventura, M.D. (2018). Computer System for Designing Musical Expressiveness in an Automatic Music Composition Process. In: Qiao, J., et al. Bio-inspired Computing: Theories and Applications. BIC-TA 2018. Communications in Computer and Information Science, vol 951. Springer, Singapore. https://doi.org/10.1007/978-981-13-2826-8_38

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  • DOI: https://doi.org/10.1007/978-981-13-2826-8_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2825-1

  • Online ISBN: 978-981-13-2826-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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