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Approach for spectrogram analysis in detection of selected pronunciation pathologies

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Innovations in Biomedical Engineering (IBE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 623 ))

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Abstract

An attempt to automatise selected pronunciation pathology detection in preschool children is described in this paper. Consonant [Z] in various phonetic surroundings is taken into consideration as eventual sigmatism indicator. The analysis involves spectrogram analysis in terms of image processing methods used for feature extraction and classification. Five dedicated features are defined and extracted, i.a., from a frequency sub-band of [1500, 6500] Hz. Binary classification using support vector machine enables pathology detection. The system performance is evaluated using sensitivity, specificity, and accuracy metrics in two cross-validation experiments over a database of 140 speech recordings with 50 normative and 90 pathological cases. Repeatable efficiency metrics at a ca. 85% level confirm the method capabilities and encourage to develop the system for the speech diagnosis support.

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Acknowledgements

This research was supported by the Polish Ministry of Science and Silesian University of Technology statutory financial support No. BK-200/RIB1/2017.

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Authors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland

    Wojciech Bodusz, Zuzanna Miodońska & Paweł Badura

Authors
  1. Wojciech Bodusz
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  2. Zuzanna Miodońska
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  3. Paweł Badura
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Corresponding author

Correspondence to Wojciech Bodusz .

Editor information

Editors and Affiliations

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

    Marek Gzik

  2. Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Ewaryst Tkacz

  3. Department of Biomaterials and Medical Devices Engineering, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Zbigniew Paszenda

  4. Dept. of Informatics and Medical Equipment, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Ewa Piętka

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Bodusz, W., Miodońska, Z., Badura, P. (2018). Approach for spectrogram analysis in detection of selected pronunciation pathologies. In: Gzik, M., Tkacz, E., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering . IBE 2017. Advances in Intelligent Systems and Computing, vol 623 . Springer, Cham. https://doi.org/10.1007/978-3-319-70063-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-70063-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70062-5

  • Online ISBN: 978-3-319-70063-2

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