The phonetic footprint of Parkinson's disease

  title={The phonetic footprint of Parkinson's disease},
  author={Philipp Klumpp and Tom{\'a}s Arias-Vergara and J.C. V{\'a}squez-Correa and Paula Andrea P{\'e}rez-Toro and Juan Rafael Orozco-Arroyave and Anton Batliner and Elmar N{\"o}th},



Acoustic, Phonetic and Prosodic Features of Parkinson’s disease Speech

Results show a centralization of vowel formant frequencies for PD speech, as expected, but some of the usual features for discriminating PD speech were not always found to be statistically significant.

Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease.

Evaluation of speech impairment in early stages of Parkinson’s disease: a prospective study with the role of pharmacotherapy

Improvements in speech performance can be demonstrated in PD patients after the introduction of antiparkinsonian therapy, and changes in speech articulation and pitch variability appear to be related with dopaminergic responsiveness of bradykinesia and rigidity.

Progression of Voice and Speech Impairment in the Course of Parkinson's Disease: A Longitudinal Study

Summarized, voice, and speech performance were found to further deteriorate in the individual patient in the course of time although global motor impairment was widely stable which might be a hint for nondopaminergic mechanisms of progression of dysarthrophonia.

Impairment of Vowel Articulation as a Possible Marker of Disease Progression in Parkinson's Disease

Measurement of VAI seems to be superior to tVSA in the description of impaired vowel articulation and its further decline in the course of the disease in PD, and has a potential to serve as a marker of axial disease progression.

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients

Articulation features are able to classify the presence of the disease with an accuracy up to 76%, and to predict the dysarthria level of the speakers with a Spearman’s correlation of up to 0.68.

Speech-based characterization of dopamine replacement therapy in people with Parkinson’s disease

This work investigates the feasibility of using speech to detect changes in medication states, based on expectations of subtle changes in voice and content related to dopaminergic levels and suggests that automatic speech assessment can capture changes associated with the DRT cycle.

Towards the identification of Idiopathic Parkinson’s Disease from the speech. New articulatory kinetic biomarkers

The goal of this work is to identify and interpret new reliable and complementary articulatory biomarkers that could be applied to predict/evaluate Parkinson’s Disease from a diadochokinetic test, contributing to the possibility of a further multidimensional analysis of the speech of parkinsonian patients.

Towards an automatic monitoring of the neurological state of Parkinson's patients from speech

According to the results, it is possible to estimate the neurological state of PD patients from speech with a Spearman's correlation of up to 0.72 with respect to the evaluations performed by neurologist experts.