Articulatory Consequences of Parkinson's Disease: Perspectives from Two Modalities

Kegl, Judy; Cohen, Henrí; Poizner, Howard

doi:10.1006/brcg.1998.1086

Cited by 37 publications

(16 citation statements)

References 23 publications

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“…The rationale to use this test stands on the fact that motor deficits in the speech capabilities of PD individuals manifest themselves more strongly under circumstances requiring motor planning and execution over extended sequences of motor production (i.e., when a single sequence is repeated several times or cases in which a given fragment occurs within a sentence context). Compensation for PD results in a simplification of the articulation at the expense of ease of processing [ 55 ], revealing important cues about speech production from the motoric point of view, even when the DDK task is simpler in motor terms than the speech taken from more natural language data (i.e. conversational speech).…”

Section: Methodsmentioning

confidence: 99%

“…Despite of its simplicity, this task reveals some cues about the speaker’s ability to produce the speech with an adequate rate, and to evaluate syllable-to-syllable stability or subphonemic durations [ 55 ]. In this sense, the syllable rates of the DDK test are used as an indicator to evaluate the patient’s ability to rapidly alternate speech movements [ 54 ].…”

Section: Methodsmentioning

confidence: 99%

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

et al. 2017

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Although a large amount of acoustic indicators have already been proposed in the literature to evaluate the hypokinetic dysarthria of people with Parkinson’s Disease, 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. The new biomarkers proposed are based on the kinetic behaviour of the envelope trace, which is directly linked with the articulatory dysfunctions introduced by the disease since the early stages. The interest of these new articulatory indicators stands on their easiness of identification and interpretation, and their potential to be translated into computer based automatic methods to screen the disease from the speech. Throughout this paper, the accuracy provided by these acoustic kinetic biomarkers is compared with the one obtained with a baseline system based on speaker identification techniques. Results show accuracies around 85% that are in line with those obtained with the complex state of the art speaker recognition techniques, but with an easier physical interpretation, which open the possibility to be transferred to a clinical setting.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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

et al. 2017

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“…Dopamine plays an important role in motor tasks, and its absence or decrease affects the coordination, velocity, and acceleration of movements. Speech production involves the movement and coordination of multiple articulators and, consequently, it is affected by PD, that causes dysphonia and dysarthria (in particular hypokinetic dysarthria) in patients [1,2,3]. Dysphonia can be defined as the incapacity of the subject to produce a normal voiced sound, while dysarthria is more related to problems in articulation during the pronunciation of words.…”

Section: Introductionmentioning

confidence: 99%

“…For both ASR systems, the deletion and insertion rates tend to be higher in patients than in controls and affect more characters/phonetic units. This effect is related with the changes associated with the patient's motor functions that, for instance, can affect the onset and offset of the glottal source, the breathing control, and longer vowel duration (slow speech) combined with occasional rushes of fast speech [2], deriving in insertions and deletions. Similarly, Fig.…”

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confidence: 99%

Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson’s Disease

Moro-Velázquez¹,

Cho²,

Watanabe³

et al. 2019

Interspeech 2019

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Parkinson's Disease (PD) affects motor capabilities of patients, who in some cases need to use human-computer assistive technologies to regain independence. The objective of this work is to study in detail the differences in error patterns from stateof-the-art Automatic Speech Recognition (ASR) systems on speech from people with and without PD. Two different speech recognizers (attention-based end-to-end and Deep Neural Network-Hidden Markov Models hybrid systems) were trained on a Spanish language corpus and subsequently tested on speech from 43 speakers with PD and 46 without PD. The differences related to error rates, substitutions, insertions and deletions of characters and phonetic units between the two groups were analyzed, showing that the word error rate is 27% higher in speakers with PD than in control speakers, with a moderated correlation between that rate and the developmental stage of the disease. The errors were related to all manner classes, and were more pronounced in the vowel /u/. This study is the first to evaluate ASR systems' responses to speech from patients at different stages of PD in Spanish. The analyses showed general trends but individual speech deficits must be studied in the future when designing new ASR systems for this population.

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“…PP are subject to dysprosody and show less variability in the fundamental frequency and intensity and more speech velocity and pausing abnormalities than control subjects (CS) 6 14 17…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of gait and speech in Parkinson's disease: hypokinetic or dysrhythmic disorders?

Cantiniaux

Vaugoyeau

Robert

et al. 2009

Journal of Neurology, Neurosurgery & Psychiatry

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Gait and speech are automatic motor activities which are frequently impaired in Parkinson's disease. Obvious clinical similarities exist between these disorders but were never investigated. We propose to determine whether there exist any common features in Parkinson's disease between spatiotemporal gait disorders and temporal speech disorders. Gait and speech were analysed on 11 Parkinsonian patients (PP) undergoing deep-brain stimulation of the subthalamic nucleus (STN-DBS) and 11 control subjects under three conditions of velocity (natural, slow and speed). The patients were tested with and without l-dopa and stimulator ON or OFF. Locomotor parameters were recorded using an optoelectronic system. Speech parameters were recorded with a headphone while subjects were reading a short paragraph. The results confirmed that PP walk and read more slowly than controls. Patient's difficulties in modulating walking and speech velocities seem to be due mainly to an inability to internally control the step length and the interpause-speech duration (ISD). STN-DBS and levodopa increased patients' walking velocity by increasing the step length. STN-DBS and levodopa had no effect on speech velocity but restored the patients' ability to modulate the ISD. The walking cadence and speech index of rythmicity tended to be lower in patients and were not significantly improved by STN-DBS or levodopa. Speech and walking velocity as well as ISD and step length were correlated in both groups. Negative correlations between speech index of and walking cadence were observed in both groups. Similar fundamental hypokinetic impairment and probably a similar rhythmic factor similarly affected the patients' speech and gait. These results suggest a similar physiopathological process in both walking and speaking dysfunction.

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Articulatory Consequences of Parkinson's Disease: Perspectives from Two Modalities

Cited by 37 publications

References 23 publications

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

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

Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson’s Disease

Comparative analysis of gait and speech in Parkinson's disease: hypokinetic or dysrhythmic disorders?

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