A Compact Spectrum-Assisted Human Beatboxing Reinforcement Learning Tool On Smartphone

Simon Lui

Proceedings of the International Conference on New Interfaces for Musical Expression

• Year: 2013
• Location: Daejeon, Republic of Korea
• Pages: 25–28
• Keywords: Audio analysis, music learning tool, reinforcement learning, smartphone app, audio information retrieval.
• DOI: 10.5281/zenodo.1178600 (Link to paper)
• PDF link

Abstract:

Music is expressive and hard to be described by words. Learning music istherefore not a straightforward task especially for vocal music such as humanbeatboxing. People usually learn beatboxing in the traditional way of imitatingaudio sample without steps and instructions. Spectrogram contains a lot ofinformation about audio, but it is too complicated to be understood inreal-time. Reinforcement learning is a psychological method, which makes use ofreward and/or punishment as stimulus to train the decision-making process ofhuman. We propose a novel music learning approach based on the reinforcementlearning method, which makes use of compact and easy-to-read spectruminformation as visual clue to assist human beatboxing learning on smartphone.Experimental result shows that the visual information is easy to understand inreal-time, which improves the effectiveness of beatboxing self-learning.

Citation:

BibTeX Entry:

  @inproceedings{Lui2013,
 abstract = {Music is expressive and hard to be described by words. Learning music istherefore not a straightforward task especially for vocal music such as humanbeatboxing. People usually learn beatboxing in the traditional way of imitatingaudio sample without steps and instructions. Spectrogram contains a lot ofinformation about audio, but it is too complicated to be understood inreal-time. Reinforcement learning is a psychological method, which makes use ofreward and/or punishment as stimulus to train the decision-making process ofhuman. We propose a novel music learning approach based on the reinforcementlearning method, which makes use of compact and easy-to-read spectruminformation as visual clue to assist human beatboxing learning on smartphone.Experimental result shows that the visual information is easy to understand inreal-time, which improves the effectiveness of beatboxing self-learning.},
 address = {Daejeon, Republic of Korea},
 author = {Simon Lui},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1178600},
 issn = {2220-4806},
 keywords = {Audio analysis, music learning tool, reinforcement learning, smartphone app, audio information retrieval.},
 month = {May},
 pages = {25--28},
 publisher = {Graduate School of Culture Technology, KAIST},
 title = {A Compact Spectrum-Assisted Human Beatboxing Reinforcement Learning Tool On Smartphone},
 url = {http://www.nime.org/proceedings/2013/nime2013_79.pdf},
 year = {2013}
}