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Voice Fatigue Evaluation: A Comparison of Singing and Speech

  • Aleksandra ZyśkEmail author
  • Marcin Bugdol
  • Paweł Badura
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 925)

Abstract

A study on voice fatigue evaluation is presented in this paper. It concerns the problem of vocal apparatus disorders with a general goal in the computer-assisted proper voice emission teaching support and possible disorder diagnosis. The singing and speech samples provided by 20 singers were recorded before and after a two-hour exhaustive performance. Nine features were extracted from each recording. Each feature was subjected to a statistical analysis using principal component analysis and Wilcoxon test producing feature importance ranking and individual p-values. Finally, a support vector classifier was employed for voice fatigue detection in separate singing and speech experiments, yielding assessment accuracies at 62.9% and 70.9%, respectively. The speech signal proved to reflect the voice fatigue more reliably than singing.

Keywords

Voice analysis Speech and singing assessment Voice fatigue Computer-aided diagnosis 

Notes

Acknowledgements

This research was supported by the Polish Ministry of Science and Silesian University of Technology statutory financial support No. BK-209/RIB1/2018.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Aleksandra Zyśk
    • 1
    Email author
  • Marcin Bugdol
    • 1
  • Paweł Badura
    • 1
  1. 1.Faculty of Biomedical EngineeringSilesian University of TechnologyZabrzePoland

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