Skip to main content
SpringerLink
Log in

Active Noise Control of Airborne Road Noise Based on Artificial Intelligent Computed Road Classification and Adaptive Digital Filter

  • Conference paper
  • First Online:
HCI International 2023 Posters (HCII 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1836))

Included in the following conference series:

  • 1082 Accesses

Abstract

The study presents a new method for real time noise control based on road surface classification technology using deep learning and active noise cancellation technology using digital adaptive filter. Recently active noise control (ANC) method for structure vibration induced road noise is developed and applied to real car for road noise control. This method is effective for ANC of road noise due to structural vibration of car body but is not effective for ANC of road noise due to air borne noise source such as interaction noise between tire and road surface. Acceleration signals measured on the car body have been used for ANC of structure borne noise. However, a new reference signal is required for ANC of air borne noise. Interaction noise between tire and road surface is severe on the concrete road than the other road such as asphalt. The reference signal should be correlated to interaction noise between tire and road surface. In the paper, the type of road surface is classified in real time throughout deep learning of the measured interaction noise based on convolutional neural network (CNN). The reference signal of interaction noise on concrete road was obtained by calculating instantaneous frequency of interaction noise and was successfully applied to ANC of airborne induced road noise.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lee, S.-Y., Lee, S.-K.: Deep convolutional neural network with new training method and transfer learning for structural fault classification of vehicle instrument panel structure. J. Mech. Sci. Technol. 34(11), 4489–4498 (2020). https://doi.org/10.1007/s12206-020-1009-3

    Article  Google Scholar 

  2. Kim, S., An, K., Back, J., Lee, S.-K., Lee, C., Kim, P.: Health monitoring of power driving system using sound signal based on deep leaming. Korean Soc. Noise Vibr. Eng. 31, 47–56 (2021)

    Article  Google Scholar 

  3. Lee, S.-K., et al.: Prediction oftire pattern noise in early design stage based on convolutional neural network. Appl. Acoust. 172, 107617 (2021)

    Article  Google Scholar 

  4. LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proceedings of the IEEE 86, 2278–2324 (1998)

    Article  Google Scholar 

  5. Bernard, W., Samuel, D.S.: Adaptive signal processing. Englewood Cliffs, NJ: Prentice Hall (1985)

    Google Scholar 

  6. Kuo, S.M., Morgan, D.R.: Active Noise Control Systems, vol. 4. Wiley, New York (1996)

    Google Scholar 

Download references

Acknowledgements

. This work was supported by the grant funded by the Korea evaluation institute of industrial technology (KEIT) (No. 20018706). This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1F1A1062889).

Author information

Authors and Affiliations

  1. Acoustics and Vibration Signal Processing Laboratory, Inha University, Incheon, 22212, South Korea

    Sang-Kwon Lee, Orhun Okcu & Kanghyun An

Authors
  1. Sang-Kwon Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Orhun Okcu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kanghyun An
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sang-Kwon Lee .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

  4. University of Central Florida, Orlando, FL, USA

    Gavriel Salvendy

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lee, SK., Okcu, O., An, K. (2023). Active Noise Control of Airborne Road Noise Based on Artificial Intelligent Computed Road Classification and Adaptive Digital Filter. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1836. Springer, Cham. https://doi.org/10.1007/978-3-031-36004-6_62

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-36004-6_62

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36003-9

  • Online ISBN: 978-3-031-36004-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation