Review on Automatic Music Generation System with Deep learning

Authors

  • Prof. Amita Suke  M. Tech, Department of Computer Science and Engineering, Wainganga College of Engineering and Management, Nagpur, Maharashtra, India
  • Prof. Khemutai Tighare  M. Tech, Department of Computer Science and Engineering, Wainganga College of Engineering and Management, Nagpur, Maharashtra, India
  • Yogeshwari Kamble  M. Tech, Department of Computer Science and Engineering, Wainganga College of Engineering and Management, Nagpur, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT217340

Keywords:

Music, Music Generation System, Deep Learning

Abstract

The music lyrics that we generally listen are human written and no machine involvement is present. Writing music has never been easy task, lot of challenges are involved to write because the music lyrics need to be meaningful and at the same time it needs to be in harmony and synchronised with the music being play over it. They are written by experienced artist who have been writing music lyrics form long time. This project tries to automate music lyrics generation using computerized program and deep learning which we produce lyrics and reduce the load on human skills and may generate new lyrics and a really faster rate than humans ever can. This project will generate the music with the assistance of human and AI

References

  1. Asst. Ismail Hakkı Parlak, Asst. Cem Kösemen, 2018. Automatic Music Generation by True Random Numbers for Turkish Makams. 2018 4th International Conference on Computer and Technology Applications
  2. Filippo Carnovalini, Antonio Roda, 2019. A Multilayered Approach to Automatic Music Generation and Expressive Performance. 2019 International Workshop on Multilayer Music Representation and Processing (MMRP)
  3. Shubham Jain , A. Pandian, 2018. A survey on automatic music generation. International Journal of Engineering & Technology, 7 (2.8) (2018) 677-679
  4. Aozhi Liu, Jianzong Wang∗ , Junqing Peng, Yiwen Wang, Yaqi Mei, Xiaojing Liang, Zimin Xia, Jing Xiao, 2019. Composer4Everyone: Automatic Music Generation with Audio Motif. 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)
  5. Liao Enyang, Tao Jun,2012. A Research about Automatical Music Generation by Computer. 2012 IEEE Symposium on Robotics and Applications(ISRA)

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Amita Suke, Prof. Khemutai Tighare, Yogeshwari Kamble, " Review on Automatic Music Generation System with Deep learning, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.332-335, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217340