Isolated vocal tremor: a case series
Objective: To describe the difficulties and limited treatment options for isolated vocal tremor. Background: Isolated vocal tremor is a unique phenotype of isolated focal tremor…Automatic Detection of Parkinson’s Disease by Voice Analysis
Objective: This study aimed to address this gap by investigating whether convolutional neural networks (CNN) can accurately distinguish PD patients from non-PD individuals. Background: Vocal…Deep Learning Approaches for Recognition of Parkinson’s Disease Patients through Handwriting, Audio and Video Analysis
Objective: The aim of this study was to build PD diagnostic models based on deep learning approaches using technologies including handwriting identification, automatic speech recognition…Association of creaky voice with motor severity in Parkinson’s disease using an automated algorithm.
Objective: We characterized creaky voice in Parkinson’s disease (PD) and evaluated the association of this acoustic phenomenon with motor and cognitive status. Background: Creaky voice (“vocal fry”)…Feasibility of telephonic voice samples to remotely monitor people with Parkinson’s disease residing in medically underserved rural regions
Objective: To explore the feasibility of collecting voice samples using digital voicemail in People with Parkinson’s disease (PwPD). Background: For many PwPD, the increased adoption…Unravelling Voice Tremor In Movement Disorders: A Machine Learning Study
Objective: The aim of this study is to achieve a direct and objective discrimination between voice samples recoded from patients with essential tremor and dysphonia…Effects of Vibrotactile Feedback and Lee Silverman Voice Treatment on Vocal Intensity in Individuals with Parkinson’s Disease: A Preliminary Study
Objective: To compare vocal intensity between locations (home versus clinic), treatment groups [Vibrotactile feedback (VF) only versus LSVT LOUD® and VF], and VF status (on…Say “AH~”: Vocal Analysis in Parkinson’s Disease and Essential Tremor
Objective: We aimed to investigate useful vocal parameters in differentiating PD and ET, using a machine-learning algorithm. Background: Correlation between Parkinson's disease (PD) and essential tremor (ET)…Alignment of objective markers of speech with listener based judgements and disease severity in Friedreich ataxia
Objective: To identify a subset of acoustic markers of speech that objectively describe listener perceptions, disease severity and speech related quality of life in Friedreich…Auditory-Perceptual Voice and Speech Evaluation in ATP1A3-positive Patients
Objective: To characterize speech and voice dysfunctions in ATP1A3 mutation positive individuals compared to concurrent mutation negative family controls. Background: Bulbar symptoms are frequent in…
Abstracts from the International Congress of Parkinson’s and Movement Disorders.