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Neural Models for Recognition of Basic Units of Semiographic Chants

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  • First Online:
Analysis of Images, Social Networks and Texts (AIST 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 436))

Abstract

The paper presents research on the problem of pattern recognition applied to the analysis of basic units of ancient Russian chants. We take for testing two types of neural networks: Multilayer Perceptron (MLP) and Probabilistic Neural Network (PNN). We investigate main features of the chant units and the properties of the networks to choose the best structure and algorithm. The results provide an analysis of accuracy for both approaches used in solving this particular task.

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References

  1. Golubeva, I.V., Philippovich, A.Yu.: Syntactic analysis musical texts. Novye informatsionnye tekhnologii v avtomatizirovannykh sistemakh. 16, 257–262 (2013) - in Russian

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Acknowledgements

The research is supported by grant 11-04-12025 of Russian Humanitarian Scientific Fund.

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Authors and Affiliations

  1. Moscow University of Printing Arts, Moscow, Russia

    Ekaterina Vylomova

  2. Montclair State University, Montclair, USA

    Ekaterina Vylomova

  3. Bauman Moscow State Technical University, Moscow, Russia

    Andrey Philippovich, Marina Danshina, Irina Golubeva & Yuriy Philippovich

Authors
  1. Ekaterina Vylomova
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  2. Andrey Philippovich
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  3. Marina Danshina
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  4. Irina Golubeva
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  5. Yuriy Philippovich
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Corresponding author

Correspondence to Ekaterina Vylomova .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  2. Krasovsky Inst. of Math. and Mechanics, Yekaterinburg, Russia

    Mikhail Yu. Khachay

  3. Université catholique de Louvain, Moscow, Russia

    Alexander Panchenko

  4. University of Wolverhampton, Wolverhampton, United Kingdom

    Natalia Konstantinova

  5. National Research University, Moscow, Russia

    Rostislav E. Yavorsky

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© 2014 Springer International Publishing Switzerland

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Vylomova, E., Philippovich, A., Danshina, M., Golubeva, I., Philippovich, Y. (2014). Neural Models for Recognition of Basic Units of Semiographic Chants. In: Ignatov, D., Khachay, M., Panchenko, A., Konstantinova, N., Yavorsky, R. (eds) Analysis of Images, Social Networks and Texts. AIST 2014. Communications in Computer and Information Science, vol 436. Springer, Cham. https://doi.org/10.1007/978-3-319-12580-0_26

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  • DOI: https://doi.org/10.1007/978-3-319-12580-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12579-4

  • Online ISBN: 978-3-319-12580-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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