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International Conference on Applied Informatics and Communication

ICAIC 2011: Applied Informatics and Communication pp 93–99Cite as

Computer-Aided Composition Method of Children’s Song Based on Grammatical Evolution

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 224))

Abstract

Computer-aided music creation has become a key research direction. Grammatical Evolution (abbreviation GE) as a new evolutionary computation technique based on formal grammar is applied for composing children’s songs. A children’s song composition method based on GE is proposed in this paper and proves to be feasible and effective with experiments. This method provides a viable and meaningful idea for computer-aided music creation.

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References

  1. O’Neill, M., Ryan, C.: Grammatical evolution:evolutionary automatic programming in an arbitrary language. Kluwer Academic Publishers, Dordrecht (2003)

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  2. GEVA - Grammatical Evolution in Java (2008), http://ncra.ucd.ie/geva

  3. O’Neill, M., Brabazon, A.: Recent Adventures in Grammatical Evolution, http://ncra.ucd.ie/papers/cms2005ge.pdf

  4. Jia, C.: Research and Application of Genetic Algorithm for Computer Aided Musie Composition. Shandong Normal University, Shandong (2007)

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  5. Yali, G.: Guqin Jiauzi notation Music’Auto Composition Based on Gendic Algorithm. Xiamen University, Fujian (2009)

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Author information

Authors and Affiliations

  1. School of Computer Science & Software Engineering Institute, Tianjin Polytechnic University, 300387, Tianjin, China

    Zhang Dakun, Zhang Chang & Jiang Guiyuan

Authors
  1. Zhang Dakun
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  2. Zhang Chang
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  3. Jiang Guiyuan
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Editor information

Editors and Affiliations

  1. Shenzhen University, Nanhai Ave. 3688, 518060, Shenzhen, Guangdong, China

    Dehuai Zeng

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Dakun, Z., Chang, Z., Guiyuan, J. (2011). Computer-Aided Composition Method of Children’s Song Based on Grammatical Evolution. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_13

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  • DOI: https://doi.org/10.1007/978-3-642-23214-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23213-8

  • Online ISBN: 978-3-642-23214-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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