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An Intelligent Mixing System for Electric Guitar Using Fuzzy Control

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 189))

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Abstract

The Public Address (PA) system engineer performs mixing and adjust the sound in order that the live performance is comfortable for the performers and the audience. However, there are many cases where only one PA engineer is assigned and the burden of the PA engineer is very serious in the case of small live music clubs. Therefore, it is required to reduce the burden of PA engineers. In this paper, we propose an intelligent mixing system based on fuzzy control for electric guitar performance to simplify the mixing work of PA engineers and reduce their burden. The fuzzy control with low computational cost is applied to save computational resources and maintain real-time performance in volume control. From the experimental results, we found that the proposed system can automatically adjust the volume of the electric guitar during the performance.

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Acknowledgement

This work was supported by JSPS KAKENHI Grant Number JP20K19793.

Author information

Authors and Affiliations

  1. Graduate School of Science and Engineering, Okayama University of Science (OUS), 1-1 Ridaicho, Kita-ku, Okayama, 700–0005, Japan

    Genki Moriya & Sora Asada

  2. Department of Information and Computer Engineering, Okayama University of Science (OUS), 1-1 Ridaicho, Kita-ku, Okayama, 700–0005, Japan

    Tetsuya Oda

  3. Graduate school of Engineering, Okayama University of Science (OUS), 1-1 Ridaicho, Kita-ku, Okayama, 700–0005, Japan

    Kyohei Toyoshima & Yuki Nagai

  4. Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka, 811-0295, Japan

    Leonard Barolli

Authors
  1. Genki Moriya
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  2. Tetsuya Oda
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  3. Kyohei Toyoshima
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  4. Yuki Nagai
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  5. Sora Asada
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  6. Leonard Barolli
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Corresponding author

Correspondence to Tetsuya Oda .

Editor information

Editors and Affiliations

  1. Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Moriya, G., Oda, T., Toyoshima, K., Nagai, Y., Asada, S., Barolli, L. (2024). An Intelligent Mixing System for Electric Guitar Using Fuzzy Control. In: Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing . 3PGCIC 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 189. Springer, Cham. https://doi.org/10.1007/978-3-031-46970-1_23

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  • DOI: https://doi.org/10.1007/978-3-031-46970-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-46969-5

  • Online ISBN: 978-3-031-46970-1

  • eBook Packages: EngineeringEngineering (R0)

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