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.
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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-209/RIB1/2018.
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Zyśk, A., Bugdol, M., Badura, P. (2019). Voice Fatigue Evaluation: A Comparison of Singing and Speech. In: Tkacz, E., Gzik, M., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering. IBE 2018. Advances in Intelligent Systems and Computing, vol 925. Springer, Cham. https://doi.org/10.1007/978-3-030-15472-1_12
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