The Phonetic Footprint of Parkinson's Disease

Klumpp P, Arias Vergara T, Vásquez-Correa JC, Pérez Toro PA, Orozco-Arroyave JR, Batliner A, Nöth E (2021)

Publication Type: Journal article, Original article

Publication year: 2021


Book Volume: 72

Journal Issue: Speech based evaluation of neurological diseases


DOI: 10.1016/j.csl.2021.101321

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As one of the most prevalent neurodegenerative disorders, Parkinson’s disease (PD) has a significant impact on the fine motor skills of patients. The complex interplay of different articulators during speech production and realization of required muscle tension become increasingly difficult, thus leading to a dysarthric speech. Characteristic patterns such as vowel instability, slurred pronunciation and slow speech can often be observed in the affected individuals and were analyzed in previous studies to determine the presence and progression of PD. In this work, we used a phonetic recognizer trained exclusively on healthy speech data to investigate how PD affected the phonetic footprint of patients. We rediscovered numerous patterns that had been described in previous contributions although our system had never seen any pathological speech previously. Furthermore, we could show that intermediate activations from the neural network could serve as feature vectors encoding information related to the disease state of individuals. We were also able to directly correlate the expert-rated intelligibility of a speaker with the mean confidence of phonetic predictions. Our results support the assumption that pathological data is not necessarily required to train systems that are capable of analyzing PD speech.

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Klumpp, P., Arias Vergara, T., Vásquez-Correa, J.C., Pérez Toro, P.A., Orozco-Arroyave, J.R., Batliner, A., & Nöth, E. (2021). The Phonetic Footprint of Parkinson's Disease. Computer Speech and Language, 72(Speech based evaluation of neurological diseases).


Klumpp, Philipp, et al. "The Phonetic Footprint of Parkinson's Disease." Computer Speech and Language 72.Speech based evaluation of neurological diseases (2021).

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