skip to main content
research-article

Ancient Chinese zither (guqin) music recovery with support vector machine

Published: 07 October 2010 Publication History

Abstract

The Chinese zither, called guqin, has existed for over 3,000 years and always played an important role in Chinese social history. An interesting but unfortunate fact is that the traditional notation of guqin music does not provide the duration information for each music note which requires the player to learn from his teacher and memorize. As a result, among several thousands of compositions that have been created and recorded with guqin music notation, only around 100 of them are still being played today. In this article we use a machine learning method to study the guqin music recovery problem which tries to use the guqin music notation to recover the duration of each music note. Information provided by the music note is used as features to predict the duration information with a support vector machine. The experimental result shows that our system can predict with fair accuracy, and can be used as a valuable reference for human guqin masters to recover guqin music.

References

[1]
}}Chang, C. 2001. Libsvm: A library for support vector machines. http://www.csie.ntu.edu.tw/cjlin/libsvm.
[2]
}}Chen, C. 1989. Preliminary application of the computer technique to guqin music research. Chinese J. Comput. 525--533.
[3]
}}Courant, R. and Hilbert, D. 1953. Methods of Mathematical Physics. Wiley Interscience, New York.
[4]
}}Ding, X., Ye, X., and Zhou, C. 2008. Coding and compilatory method in the transnotation jianzipu of qin zither. Musicology in China, 93--96.
[5]
}}Duan, K. and Keerthi, S. S. 2005. Which is the best multiclass svm method? An empirical study. In Proceedings of the 6th International Workshop on Multiple Classifier Systems. 278--285.
[6]
}}Gerber, S. B. and Finn, K. V. 2005. Using SPSS for Windows: Data Analysis and Graphics, 2nd ed. Springer.
[7]
}}Li, C. 2008. Research on rhythm issue in jianzipu of guqin. JiaoXiang J. Xi'an Conserv. Music, 24--26.
[8]
}}Liebetrau, A. M. 1983. Measures of Association. Sage Publications, Newbury Park, CA.
[9]
}}Liu, Y. and Zheng, Y. F. 2005. One-Against-All multi-class svm classification using reliability measures. In Proceedings of the IEEE International Joint Conference on Neural Networks. 1--4.
[10]
}}Lu, W. 2004. SPSS for Windows Statistical Analysis (2nd Version). Electronic Industry Press, Beijing, China.
[11]
}}Tang, B. and Mazzoni, D. 2006. Multiclass reduced-set support vector machines. In Proceedings of the International Conference on Machine Learning. 921--928.
[12]
}}Xu, G. 1994. How to Play Guqin. People Music Press, Beijing, China.
[13]
}}Xu, J. and Wang, D. 1962. Collection of Guqin Pieces(Volume 1, Volume 2). People Music Press, Beijing, China.
[14]
}}Yu, H. 1993. The method of automatic processing on information in jianzipu with computer. JiaoXiang J. Xi'an Conserv. Music, 56--58.
[15]
}}Zhang, H. 2006. Research on theory and demonstration of guqin dapu. Ph.D. thesis, Chinese National Academy of Art.

Cited By

View all
  • (2021)We Can Do More to Save Guqin: Design and Evaluate Interactive Systems to Make Guqin More Accessible to the General PublicProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445175(1-12)Online publication date: 6-May-2021

Index Terms

  1. Ancient Chinese zither (guqin) music recovery with support vector machine

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image Journal on Computing and Cultural Heritage
      Journal on Computing and Cultural Heritage   Volume 3, Issue 2
      September 2010
      85 pages
      ISSN:1556-4673
      EISSN:1556-4711
      DOI:10.1145/1841317
      Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 07 October 2010
      Accepted: 01 July 2010
      Received: 01 September 2009
      Published in JOCCH Volume 3, Issue 2

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. Classification
      2. feature selection
      3. guqin music
      4. support vector machine

      Qualifiers

      • Research-article
      • Research
      • Refereed

      Funding Sources

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)5
      • Downloads (Last 6 weeks)1
      Reflects downloads up to 23 Feb 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2021)We Can Do More to Save Guqin: Design and Evaluate Interactive Systems to Make Guqin More Accessible to the General PublicProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445175(1-12)Online publication date: 6-May-2021

      View Options

      Login options

      Full Access

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media