Parkinson’s Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech

Arias-Vergara, Tomás; Vásquez-Correa, Juan Camilo; Orozco-Arroyave, Juan Rafael

doi:10.1007/s12559-017-9497-x

Cited by 31 publications

(24 citation statements)

References 39 publications

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“…Age-related changes in VSA, although not significant, show a slightly decrease, mainly for males, which supports a trend towards the centralization of vowels' space with ageing. That is vowel articulation becomes more centralized in older speakers [15,16,26]. And still, the smaller polygon of the older males tends to indicate that they have a worse articulation capability [26,27].…”

Section: Discussionmentioning

confidence: 99%

“…This procedure yielded in 532 outliers excluded from the study. The VSA is defined by the polygon area based on the mean value for each oral vowel, adapted from [26,33,34].…”

Section: Acoustic Measurementsmentioning

confidence: 99%

“…Such reduction is observed as a compression of the area of the vocal space. The main hypothesis is that young speakers have a better articulation capability than older speakers [26,27] (11 men, 11 women). They all completed a background questionnaire and signed a written informed consent form.…”

Section: Introductionmentioning

confidence: 99%

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Age-Related Changes in European Portuguese Vowel Acoustics

et al. 2019

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This study addresses effects of age and gender on acoustics of European Portuguese oral vowels, given to the fact of conflicting findings reported in prior research. Fundamental frequency (F0), formant frequencies (F1 and F2) and duration of vowels produced by a group of 113 adults, aged between 35 and 97 years old, were measured. Vowel space area (VSA) according to gender and age was also analysed. The results revealed that the most consistent age-related effect was an increase in vowel duration in both genders. F0 decreases above [50-64] for female and for male data suggests a slight drop over the age range [35-64] and then an increase in an older age. That is, F0 tends to be closer between genders as age increases. In general, there is no evidence that F1 and F2 frequencies were lowering as age increased. Furthermore, there were no changes to VSA with ageing. These results provide a base of information to establish vowel acoustics normal patterns of ageing among Portuguese adults.

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Section: Discussionmentioning

confidence: 99%

“…This procedure yielded in 532 outliers excluded from the study. The VSA is defined by the polygon area based on the mean value for each oral vowel, adapted from [26,33,34].…”

Section: Acoustic Measurementsmentioning

confidence: 99%

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Age-Related Changes in European Portuguese Vowel Acoustics

et al. 2019

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“…To reveal and assess the strength of a relationship between the computed acoustic features and patients' clinical data (UPDRS III, UPDRS IV, RBDSQ, and FOG-Q), Spearman's correlation coefficient was computed (the statistical assumptions for Spearman's correlation coefficient were satisfied as: (a) the acoustic features as well as the the clinical data are both variables that are measured on at least an ordinal scale, and (b) there is a monotonic relationship between the two variables). Since age, gender, and probably L-dopa, are manifested in a voice of PD patients [9], for the purpose of this work, we employed partial Spearman's correlation controlling for the effect of the following confounding factors (also known as covariates): patients' age, gender [29,45], and dopaminergic medication [32,46]. The significance level of correlation was set to 0.05.…”

Section: Discussionmentioning

confidence: 99%

Changes in Phonation and Their Relations with Progress of Parkinson’s Disease

et al. 2018

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Hypokinetic dysarthria, which is associated with Parkinson's disease (PD), affects several speech dimensions, including phonation. Although the scientific community has dealt with a quantitative analysis of phonation in PD patients, a complex research revealing probable relations between phonatory features and progress of PD is missing. Therefore, the aim of this study is to explore these relations and model them mathematically to be able to estimate progress of PD during a two-year follow-up. We enrolled 51 PD patients who were assessed by three commonly used clinical scales. In addition, we quantified eight possible phonatory disorders in five vowels. To identify the relationship between baseline phonatory features and changes in clinical scores, we performed a partial correlation analysis. Finally, we trained XGBoost models to predict the changes in clinical scores during a two-year follow-up. For two years, the patients' voices became more aperiodic with increased microperturbations of frequency and amplitude. Next, the XGBoost models were able to predict changes in clinical scores with an error in range 11-26%. Although we identified some significant correlations between changes in phonatory features and clinical scores, they are less interpretable. This study suggests that it is possible to predict the progress of PD based on the acoustic analysis of phonation. Moreover, it recommends utilizing the sustained vowel /i/ instead of /a/.

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“…Little [5] raised the awareness of the possibility of using sustained /a/ for discriminating PD from HC subjects. The challenge lays in the overlapping feature space between PD subjects and HC subject with age-related voice impairment [6]. There is still a lot of room for improvement, including a more objective scoring by PD speech specialists.…”

Section: Introductionmentioning

confidence: 99%

Feature Representation of Pathophysiology of Parkinsonian Dysarthria

Rueda¹,

Vásquez-Correa²,

Ríos-Urrego³

et al. 2019

Interspeech 2019

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This paper focuses on selecting features that can best represent the pathophysiology of Parkinson's disease (PD) dysarthria. PD dysarthria has often been the subject of feature selection and classification experiments, but rarely have the selected features been attempted to be matched to the pathophysiology of PD dysarthria. PD dysarthria manifests through changes in control of a person's speech production muscles and affects respiration, articulation, resonance, and laryngeal properties, resulting in speech characteristics such as short phrases separated by pauses, reduced speed for non-repetitive syllables or supernormal speed of repetitive syllables, reduced resonance, irregular vowel generation, etc. Articulation, phonation, diadochokinesis (DDK) rhythm, and Empirical Mode Decomposition (EMD) features were extracted from the DDK and sustained /a/ recordings of the Spanish GITA Corpus. These recordings were captured from 50 healthy (HC) and 50 PD subjects. A two-stage filter-wrapper feature selection process was applied to reduce the number of features from 3,534 to 15. These 15 features mainly represent the instability of the voice and rhythm. SVM, Random Forest and Naive Bayes were used to test the discriminative power of the selected features. The results showed that these sustained /a/ and /pa-ta-ka/ stability features could successfully discriminate PD from HC with 70% accuracy.

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Parkinson’s Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech

Cited by 31 publications

References 39 publications

Age-Related Changes in European Portuguese Vowel Acoustics

Age-Related Changes in European Portuguese Vowel Acoustics

Changes in Phonation and Their Relations with Progress of Parkinson’s Disease

Feature Representation of Pathophysiology of Parkinsonian Dysarthria

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