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Quantitative Assessment of Speech in Cerebellar Ataxia Using Magnitude and Phase Based Cepstrum

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Abstract

The clinical assessment of speech abnormalities in Cerebellar Ataxia (CA) is time-consuming and inconsistent. We have developed an automated objective system to quantify CA severity and thereby facilitate remote monitoring and optimisation of therapeutic interventions. A quantitative acoustic assessment could prove to be a viable biomarker for this purpose. Our study explores the use of phase-based cepstral features extracted from the modified group delay function as a complement to the features obtained from the magnitude cepstrum. We selected a combination of 15 acoustic measurements using RELIEF feature selection algorithm during the feature optimisation process. These features were used to segregate ataxic speakers from normal speakers (controls) and objectively assess them based on their severity. The effectiveness of our study has been experimentally evaluated through a clinical study involving 42 patients diagnosed with CA and 23 age-matched controls. A radial basis function kernel based support vector machine (SVM) classifier achieved a classification accuracy of 84.6% in CA–Control discrimination [area under the ROC curve (AUC) of 0.97] and 74% in the modified 3-level CA severity estimation (AUC of 0.90) deduced from the clinical ratings. The strong classification ability of selected features and the SVM model supports this scheme’s suitability for monitoring CA related speech motor abnormalities.

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Acknowledgments

This research is supported by the Royal Victorian Eye and Ear Hospital (RVEEH), the Florey Institute of Neuroscience and Mental Health, Melbourne, Australia through the National Health and Medical Research Council (NHMRC, Grant GNT1101304 and APP1129595) and CSIRO Data61.

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Authors and Affiliations

  1. Networked and Sensing Control (NSC) Lab, School of Engineering, Deakin University, Waurn Ponds, Victoria, Australia

    Bipasha Kashyap & Pubudu N. Pathirana

  2. Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia

    Malcolm Horne & David Szmulewicz

  3. Balance Disorders and Ataxia Service, Royal Victorian Eye and Ear Hospital, St Andrews Place, East Melbourne, Victoria, Australia

    Laura Power & David Szmulewicz

  4. Cerebellar Ataxia Clinic, Alfred Hospital, Prahran, Melbourne, Victoria, Australia

    David Szmulewicz

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  1. Bipasha Kashyap
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  2. Pubudu N. Pathirana
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  4. Laura Power
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  5. David Szmulewicz
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Correspondence to Bipasha Kashyap.

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Associate Editor Eiji Tanaka oversaw the review of this article.

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Kashyap, B., Pathirana, P.N., Horne, M. et al. Quantitative Assessment of Speech in Cerebellar Ataxia Using Magnitude and Phase Based Cepstrum. Ann Biomed Eng 48, 1322–1336 (2020). https://doi.org/10.1007/s10439-020-02455-7

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  • DOI: https://doi.org/10.1007/s10439-020-02455-7

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