Noise-Canceling Music: Reducing Noise by Mixing It with Suitable Music

  • Hiroki TokuhisaEmail author
  • Kenta Sato
  • Kohei Matsuda
  • Keiji Matsui
  • Satoshi Nakamura
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11863)


Ambient noise is part of our daily life, and sometimes such noise can be bothersome. To reduce noise exposure, people usually listen to music through headphones and earphones or use noise-canceling devices. However, these measures can block some important information that the users do not want to miss. We propose a method called “noise-canceling music” that reduces the subjective sound magnitude of the noise when it is mixed with suitable music. The results of the experimental tests confirm that the perceived sound magnitude of noise decreases when it is mixed with suitable music. However, the method was not effective when perceptions of music were different.


Noise Music Entertaining Noise-canceling-music Discomfort 



This work was supported in part by JST ACCEL Grant Number JPMJAC1602, Japan.


  1. 1.
    Haiyan, S., Ying, S., Huan, Z.: High annoyance noise masking. In: IEEE 2nd International Conference on Signal and Image Processing, pp. 380–384 (2018)Google Scholar
  2. 2.
    Bolin, K., Nilsson, M.E.: The potential of natural sounds to mask wind turbine noise. Acta Acust. Unit. Acust. 96, 131–137 (2010)CrossRefGoogle Scholar
  3. 3.
    Vawter, N.: Ambient addition: how to turn urban noise into music. MIT, School of Architecture and Planning, Program in Media Arts and Sciences (2006)Google Scholar
  4. 4.
    Fiegel, A., Meullenet, J.F., Harrington, R.J., Humble, R., Seo, H.S.: Background music genre can modulate flavor pleasantness and overall impression of food stimuli. Appetite 76, 144–152 (2014)CrossRefGoogle Scholar
  5. 5.
    Yamasaki, T., Yamada, K., Petri, L.: Viewing the world through the prism of music: effects of music on perceptions of the environment. Psychol. Music 43, 61–74 (2013)CrossRefGoogle Scholar
  6. 6.
    Newbold, J.W., Luton, J., Cox, A.L., Gould, S.J.J.: Using nature-based soundscapes to support task performance and mood. In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp. 2802–2809 (2017)Google Scholar
  7. 7.
    Sony: Xperia Ear Duo(2018). Accessed 23 June 2019

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Hiroki Tokuhisa
    • 1
    Email author
  • Kenta Sato
    • 1
  • Kohei Matsuda
    • 1
  • Keiji Matsui
    • 1
  • Satoshi Nakamura
    • 1
  1. 1.Graduate School of Advanced Mathematical SciencesMeiji UniversityTokyoJapan

Personalised recommendations