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Automatic composition of happy melodies based on relations

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Abstract

To compose some happy melodies which have hierarchical structures, this paper proposes an automatic melody composition algorithm based on relations. First, various types of melody structure are formalized and saved into a database, so the melody structure form preferred by a user can be elected by human-computer interaction. Second, some sequences of trunk-note and several algorithms of splitting note are constructed by means of the pitch interval features of happy melody, and the theme phrase of happy melody is generated by splitting some trunk notes of the trunk-note-sequence. Third, several types of operators for developing the theme phrase, which include pitch offsetting, phrase inversing and repeating-developing, are constructed using relationship methods. Finally, under the guidance of the elected melody structure, some happy melodies of songs are produced automatically by the interreaction of the theme phrase and these operators. Experimental results demonstrate that this algorithm can make the obtained melodies have musically meaningful structures, and it is not easy to distinguish these machine-generated melodies from human-generated melodies.

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Acknowledgments

This research was funded by the Key Scientific and Technological Project of Henan Province, China (No. 122102210054), and the Young Core Instructor Project from the Higher Education Institutions of Henan Province, China (No.2011GGJS-061).

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Authors and Affiliations

  1. College of Computer and Information Engineering, Henan Normal University, No.46 Jianshe Road, 453007, Xinxiang, Henan, China

    Xizheng Cao, Lin Sun, Jingwen Niu, Ruiqi Wu, Yanmei Liu & Huijuan Cai

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  1. Xizheng Cao
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  2. Lin Sun
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  3. Jingwen Niu
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  4. Ruiqi Wu
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  5. Yanmei Liu
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Correspondence to Xizheng Cao.

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Cao, X., Sun, L., Niu, J. et al. Automatic composition of happy melodies based on relations. Multimed Tools Appl 74, 9097–9115 (2015). https://doi.org/10.1007/s11042-014-2057-4

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  • DOI: https://doi.org/10.1007/s11042-014-2057-4

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