Titlebook: Automatic Assessment of Parkinsonian Speech; First Workshop, AAPS Juan I. Godino-Llorente Conference proceedings 2020 Springer Nature Switz

GLIDE

Dendritic-Cells

Acoustic Analysis and Voice Quality in Parkinson Disease,sychoacoustic model of voice quality, and explore how this model could be applied to develop a comprehensive model of voice in PD. Such a model would explain how acoustics, quality, and voice production interrelate. Without such an understanding, we contend, the goal of meaningful evaluation of voice in PD will remain unachieved.

Polydipsia

1865-0929 Cambridge, Massachusetts, USA, in September 2019. .The 6 full papers were thoroughly reviewed and selected from 15 submissions. They present recent research on the automatic assessment of parkinsonian speech from the point of view of such disciplines as machine learning, speech technology, phonetics

FRAX-tool

轻而薄

侵略主义

Conference proceedings 2020 Massachusetts, USA, in September 2019. .The 6 full papers were thoroughly reviewed and selected from 15 submissions. They present recent research on the automatic assessment of parkinsonian speech from the point of view of such disciplines as machine learning, speech technology, phonetics, neurolog

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Focus-Words

Sources of Intraspeaker Variation in Parkinsonian Speech Related to Speaking Style,rming several activities of daily living. The variability in speech motor impairment reported across studies and patients may be influenced by the extent to which a speaker relies more heavily on either goal-directed or habitual control in a given speaking environment. The current paper will briefly

恭维

A Review of the Use of Prosodic Aspects of Speech for the Automatic Detection and Assessment of Paric aspects. Several studies in literature extract information about these aspects to automatically detect or assess PD employing corpora containing different speech tasks from patients and control subjects. In this review, we analyze the influence of PD in the prosodic aspect and the potential use o

Cabinet

Automatic Processing of Aerodynamic Parameters in Parkinsonian Dysarthria,However, this approach is recognized as subjective, non-reproducible and time-consuming. These limitations make it unsuitable for large corpora or for the follow-up of the progression of the condition of dysarthric patients. Faced with these limitations, professionals express their need for objectiv