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An Automatic Grading Method for Singing Evaluation

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 128))

Abstract

Automatic evaluation of singing quality is essential to singing practitioners. In this paper, we present a methodology that generates grades and comments for singing quality. In this method, we first perform note segmentation and pitch estimation. Then a method based on experience of human perception is used to evaluate the accuracies of intonation and rhythm. A subjective evaluation is carried out in which Spearmans correlation is used to evaluate the consistency between the proposed method and experts opinion. The result demonstrates high reliability of the proposed annotation system and grading method.

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Authors and Affiliations

  1. Key Laboratory of Pervasive Computing, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Zeyu Jin, Jia Jia, Yuxiang Liu, Yongxin Wang & Lianhong Cai

Authors
  1. Zeyu Jin
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  2. Jia Jia
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  3. Yuxiang Liu
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  4. Yongxin Wang
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  5. Lianhong Cai
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Corresponding author

Correspondence to Zeyu Jin .

Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Jin, Z., Jia, J., Liu, Y., Wang, Y., Cai, L. (2012). An Automatic Grading Method for Singing Evaluation. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_105

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  • DOI: https://doi.org/10.1007/978-3-642-25792-6_105

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25791-9

  • Online ISBN: 978-3-642-25792-6

  • eBook Packages: EngineeringEngineering (R0)

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