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International Conference on Information Technologies in Biomedicine

ITIB 2019: Information Technology in Biomedicine pp 179–186Cite as

Convolutional Neural Networks for Computer Aided Diagnosis of Interdental and Rustling Sigmatism

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1011))

Abstract

Sigmatism (lisping), is the misarticulation of sibilant sounds. Multiple classes of sigmatism exist, and the treatment for each type differs. An automatic classifier may improve therapeutic options with the supervision of a speech therapist. A database containing 1188 multichannel recordings of children diagnosed as having normative pronunciation, interdental sigmatism, or rustling sigmatism was used to create visual representations of the spectrum, mel-filter bank energies (FBE), and mel-frequency cepstral coefficients. These images were used to train a convolutional neural network. The network achieved a binary accuracy of 97.67% using FBE images to distinguish between normative pronunciation and any other of the analyzed types of sigmatism.

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Author information

Authors and Affiliations

  1. Weldon School of Biomedical Engineering, Purdue University, 206 S Martin Jischke Dr, West Lafayette, IN, 47907, USA

    Andre Woloshuk

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41–800, Zabrze, Poland

    Michal Krecichwost, Zuzanna Miodonska, Dominika Korona & Pawel Badura

Authors
  1. Andre Woloshuk
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  2. Michal Krecichwost
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  3. Zuzanna Miodonska
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  4. Dominika Korona
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  5. Pawel Badura
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Corresponding author

Correspondence to Michal Krecichwost .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Ewa Pietka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Wojciech Wieclawek

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Woloshuk, A., Krecichwost, M., Miodonska, Z., Korona, D., Badura, P. (2019). Convolutional Neural Networks for Computer Aided Diagnosis of Interdental and Rustling Sigmatism. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2019. Advances in Intelligent Systems and Computing, vol 1011. Springer, Cham. https://doi.org/10.1007/978-3-030-23762-2_16

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