Automatic detection of Parkinson's disease in running speech spoken in three different languages

Orozco-Arroyave, Juan Rafael; Hönig, Florian; Arias-Londoño, Julián D.; Vargas-Bonilla, Jesús Francisco; Daqrouq, Khaled; Skodda, Sabine; Rusz, Ján; Nöth, Elmar

doi:10.1121/1.4939739

Cited by 167 publications

(104 citation statements)

References 41 publications

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“…Similar instrumentation-based measures have also been shown to be sensitive to subtle or pre-symptomatic speech changes associated with Parkinson’s disease (18,19) and Huntington’s disease (20, 21). Although these measures show promise for early detection, most instrumentation-based approaches are not currently well-suited for clinical evaluations, due to the cost of the equipment, and the time and expertise required for data collection, analysis, and interpretation.…”

Section: Introductionmentioning

confidence: 98%

The diagnostic utility of patient-report and speech-language pathologists’ ratings for detecting the early onset of bulbar symptoms due to ALS

Allison

Yunusova

Campbell

et al. 2017

Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration

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Objective This study aimed to determine the diagnostic utility of clinician speech ratings and patient self-report for detecting early bulbar changes associated with amyotrophic lateral sclerosis (ALS), compared to instrumentation-based speech measures. Methods Thirty-six individuals with ALS and 17 healthy control participants were included. Patients’ awareness of early bulbar motor involvement was assessed using self-reported scores on the Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R). Clinicians’ detection of early bulbar motor involvement was assessed through perceptual speech ratings by two experienced speech-language pathologists. Participants with ALS were grouped as ‘bulbar pre-symptomatic’ or ‘bulbar symptomatic’ based on self-report and clinician ratings, and compared to healthy controls on six instrumentation-based speech measures. ROC analysis was used to compare the sensitivity and specificity of perceptual and instrumentation-based measures for detecting bulbar changes in pre-symptomatic individuals. Results Early bulbar changes that were documented using instrumentation-based measures were undetected by both patients and clinicians. ROC analyses indicated that instrumentation-based measures outperformed clinicians’ scaled severity ratings, and that percent pause time was the best measure for differentiating healthy controls from bulbar pre-symptomatic individuals with ALS. Conclusions Findings suggested that instrumentation-based measures of speech may be necessary for early detection of bulbar changes due to ALS.

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Section: Introductionmentioning

confidence: 98%

The diagnostic utility of patient-report and speech-language pathologists’ ratings for detecting the early onset of bulbar symptoms due to ALS

Allison

Yunusova

Campbell

et al. 2017

Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration

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“…Six of the 48 EMS metrics analyzed were found to be robust indicators of speech signals coming from dysarthric vs. healthy speakers (with 95.3% accuracy on cross-validation). Orozco-Arroyave et al [15] proved that the speech of German, Spanish and Czech PD patients can be classified automatically based on the systematic separation of voiced and unvoiced segments.…”

Section: Introductionmentioning

confidence: 99%

Speech Rhythm in Parkinson’s Disease: A Study on Italian

Pettorino¹,

Busà²,

Pellegrino³

2016

Interspeech 2016

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Experimental studies on different languages have shown that neurogenetic disorders connected with Parkinson's disease (PD) determine a series of variations in the speech rhythm. This study aims at verifying whether the speech of PD patients presents rhythmic abnormalities compared to healthy speakers also in Italian. The read speech of 15 healthy speakers and of 11 patients with mild PD was segmented in consonantal and vocalic portions. After extracting the durations of all segments, the vowel percentage (%V) and the interval between two consecutive vowel onset points (VtoV) were calculated. The results show that %V has significantly different values in mildly affected patients as compared to controls. For Italian, %V spans between 44% and 50% for healthy subjects and between 51% and 58% for PD subjects. A positive correlation was found between %V and the number of years of PD since its insurgence. The correlation with the age at which the disease insurges is weak. With regard to VtoV, PD subjects do not speak at a significantly slower rate than healthy controls, though a trend in this direction was found. The data suggest that %V could be used as a more reliable parameter for the early diagnosis of PD than speech rate. AbstractExperimental studies on different languages have shown that neurogenetic disorders connected with Parkinson's disease (PD) determine a series of variations in the speech rhythm. This study aims at verifying whether the speech of PD patients presents rhythmic abnormalities compared to healthy speakers also in Italian. The read speech of 15 healthy speakers and of 11 patients with mild PD was segmented in consonantal and vocalic portions. After extracting the durations of all segments, the vowel percentage (%V) and the interval between two consecutive vowel onset points (VtoV) were calculated. The results show that %V has significantly different values in mildly affected patients as compared to controls. For Italian, %V spans between 44% and 50% for healthy subjects and between 51% and 58% for PD subjects. A positive correlation was found between %V and the number of years of PD since its insurgence. The correlation with the age at which the disease insurges is weak. With regard to VtoV, PD subjects do not speak at a significantly slower rate than healthy controls, though a trend in this direction was found. The data suggest that %V could be used as a more reliable parameter for the early diagnosis of PD than speech rate.

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“…The speakers perform different speech tasks, including the repetition of /pa-ta-ka/, a read text, and a monologue [20].…”

Section: Test Datamentioning

confidence: 99%

“…The patients were newly diagnosed with PD, and none of them had been medicated before or during the recording session. The speech tasks performed by the speakers include also the repetition of /pa-ta-ka/, a read text and a monologue [20].…”

Section: Test Datamentioning

confidence: 99%

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease

Vásquez-Correa

Orozco-Arroyave

Arora

et al. 2017

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Information from different bio-signals such as speech, handwriting, and gait have been used to monitor the state of Parkinson's disease (PD) patients, however, all the multimodal bio-signals may not always be available. We propose a method based on multi-view representation learning via generalized canonical correlation analysis (GCCA) for learning a representation of features extracted from handwriting and gait that can be used as a complement to speech-based features. Three different problems are addressed: classification of PD patients vs. healthy controls, prediction of the neurological state of PD patients according to the UP-DRS score, and the prediction of a modified version of the Frenchay dysarthria assessment (m-FDA). According to the results, the proposed approach is suitable to improve the results in the addressed problems, specially in the prediction of the UPDRS, and m-FDA scores.

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Automatic detection of Parkinson's disease in running speech spoken in three different languages

Cited by 167 publications

References 41 publications

The diagnostic utility of patient-report and speech-language pathologists’ ratings for detecting the early onset of bulbar symptoms due to ALS

The diagnostic utility of patient-report and speech-language pathologists’ ratings for detecting the early onset of bulbar symptoms due to ALS

Speech Rhythm in Parkinson’s Disease: A Study on Italian

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease

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