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Physics-Guided Sound Synthesis for Rotating Blades

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Advances in Computer Graphics (CGI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12221))

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Abstract

This paper focuses on sound synthesis for rotating blades such as fans, helicopters and wind turbines, which is common in both real world and computer games though has received little attention until now. In this paper, we propose a novel physics-guided sound synthesis method for rotating blades. First, we propose an efficient rotating blade sound solver for Ffowcs Williams-Hawkings (FW-H) equation, which can greatly reduce the computational complexity. Then, inspired by the good expression of Mel-scale Frequency Cepstral Coefficients (MFCC) in speech recognition, we design a new sound parameter A_MFCC to enrich the sound. Specifically, while ensuring the sensitivity of MFCC to formants, we improve MFCC to make it well show the properties of sound timbre and loudness, so that it can be well applied in sound synthesis. Finally, based on the observation that rotating blade sound has similar qualities with noise, we specially devise a method to further enrich the sounding result by combining noise and A_MFCC. Experimental results demonstrated that our method can achieve great sounding results for various rotating blades.

Supported by the Natural Science Foundation of China under grant nos. 61672375 and 61170118.

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Authors and Affiliations

  1. College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China

    Siqi Xu & Shiguang Liu

Authors
  1. Siqi Xu
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  2. Shiguang Liu
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Corresponding author

Correspondence to Shiguang Liu .

Editor information

Editors and Affiliations

  1. University of Geneva, Geneva, Switzerland

    Nadia Magnenat-Thalmann

  2. University of Crete, Heraklion, Greece

    Constantine Stephanidis

  3. University of Macau, Macau, China

    Enhua Wu

  4. Swiss Federal Institute of Technology, Lausanne, Switzerland

    Daniel Thalmann

  5. Shanghai Jiao Tong University, Shanghai, China

    Bin Sheng

  6. University of Sydney, Sydney, Australia

    Jinman Kim

  7. University of Crete, Heraklion, Greece

    George Papagiannakis

  8. University of Calgary, Calgary, AB, Canada

    Marina Gavrilova

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Xu, S., Liu, S. (2020). Physics-Guided Sound Synthesis for Rotating Blades. In: Magnenat-Thalmann, N., et al. Advances in Computer Graphics. CGI 2020. Lecture Notes in Computer Science(), vol 12221. Springer, Cham. https://doi.org/10.1007/978-3-030-61864-3_20

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  • DOI: https://doi.org/10.1007/978-3-030-61864-3_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61863-6

  • Online ISBN: 978-3-030-61864-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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