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Modulation Technology of Humanized Voice in Computer Music

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Intelligent Computing Methodologies (ICIC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10363))

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Abstract

Computer music humming tone modulation technology is mainly to enhance the computer music sound of human nature. Such as enhancing the authenticity of the sound and beauty or enhance the performance of the human and virtual sound field effects, etc. It mainly uses the existing technical means of hardware and software to change the basic attributes of sound, which mainly includes the sound envelope and the virtual sound field effect modulation. Through the modulation of the preset tone, you can improve the characteristics of human voice performance.

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References

  1. Ng, R., Han, J.: Efficient and effective clustering method for spatial data mining. In: Proceedings of 20th International Conference on Very Large Data Bases (1994)

    Google Scholar 

  2. Shekhar, S., Chawla, S.: Spatial Databases: A Tour. Prentice Hall, Upper Saddle River (2003)

    Google Scholar 

  3. Graco, W., Semenova, T., Dubossarsky, E.: Toward knowledge-driven data mining. In: International Workshop on Domain Driven Data Mining at 13th ACM SIGKDD (2007)

    Google Scholar 

  4. Tung, A.K.H., Han, J., Lakshmanan, L.V.S., Ng, R.T.: Constraint-based clustering in large databases. In: Proceedings of International Conference on Database Theory (2001)

    Google Scholar 

  5. Wang, X., Hamilton, H.J.: Towards an ontology-based spatial clustering framework. In: Proceedings of 18th Canadian Artificial Intelligence Conference (2005)

    Google Scholar 

  6. Mitropoulos, P., Mitropoulos, I., Giannikos, I., Sissouras, A.: A biobjective model for the locational planning of hospitals and health centers. Health Care Manag. Sci. 9, 171–179 (2006)

    Article  Google Scholar 

  7. Liao, K., Guo, D.: A clustering-based approach to the capacitated facility location problem. Trans. GIS 12, 323–339 (2008)

    Article  Google Scholar 

  8. Han, J., Lakshmanan, L.V.S., Ng, R.T.: Constraint-based multidimensional data mining. Computer 32, 46–50 (1999)

    Google Scholar 

  9. Wang, X., Rostoker, C., Hamilton, H.J.: Density-based spatial clustering in the presence of obstacles and facilitators. In: Proceedings of 8th European Conference on Principles and Practice Of Knowledge Discovery in Databases (2004)

    Google Scholar 

  10. Alberta Breast Cancer Screening Program. http://www.cancerboard.ab.ca/abcsp/program.html

  11. Breaux, T.D., Reed, J.W.: Using ontology in hierarchical information clustering. In: Proceedings of 38th Annual Hawaii International Conference on System Sciences (2005)

    Google Scholar 

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Acknowledgment

This paper is sponsored by the topic of soft science of Henan Science and Technology Department in 2017 (Subject ID: 172400410136).

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Authors and Affiliations

  1. Communication Institute, Zhengzhou Normal University, Zhengzhou, China

    Zhiqi Zhao

Authors
  1. Zhiqi Zhao
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Correspondence to Zhiqi Zhao .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Liverpool John Moores University, Liverpool, United Kingdom

    Abir Hussain

  3. Inha University, Incheon, Korea (Republic of)

    Kyungsook Han

  4. Indian Institute of Technology Madras, Chennai, India

    M. Michael Gromiha

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© 2017 Springer International Publishing AG

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Zhao, Z. (2017). Modulation Technology of Humanized Voice in Computer Music. In: Huang, DS., Hussain, A., Han, K., Gromiha, M. (eds) Intelligent Computing Methodologies. ICIC 2017. Lecture Notes in Computer Science(), vol 10363. Springer, Cham. https://doi.org/10.1007/978-3-319-63315-2_55

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  • DOI: https://doi.org/10.1007/978-3-319-63315-2_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63314-5

  • Online ISBN: 978-3-319-63315-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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