Voice and Speech Disorders

Impact of Amazonian Dance on Speech Performance in People with Parkinson's Disease

This study shows that Amazonian Dance improves speech prosody, voice quality, and semantic organization in Parkinson's patients more than Nordic Walking.

Machine learning surrogate forward models for biomechanical laryngeal control

This paper uses machine learning models to create fast surrogates for biomechanical laryngeal control models, enabling real-time applications with reduced computational costs.

Pause characteristics of sentence production in Parkinson's disease: insights from sentence complexity and length

This study examines how sentence complexity and length affect pause behavior in Parkinson's disease, finding increased pauses and correlations with cognitive and motor speech deficits.

Post-pubertal developmental trajectories of laryngeal shape and size in humans

The paper quantifies age-related changes in human laryngeal shape and size, showing sex-specific effects of age, BMI, and height on thyroid cartilage morphology.

Characterization of Cervical-Cranial Muscle Network in Correlation with Vocal Features

This paper demonstrates that cervical-cranial muscle network features from sEMG can effectively differentiate vocal tasks and detect subtle changes in vocal performance.

Temporal specificity of abnormal neural oscillations during phonatory events in Laryngeal Dystonia

This study identifies abnormal neural oscillations in specific brain regions during different stages of phonation in laryngeal dystonia patients, revealing impaired motor preparation and auditory feedback processing.

Deficits in monitoring self-produced speech in Parkinson's disease

The paper examines auditory evoked responses to self-produced and heard speech in Parkinson's disease patients, finding abnormal modulation in those without subjective speech deficits.

Acoustic Measures of Prosody in Right-Hemisphere Damage: A Systematic Review and Meta-Analysis

This paper reviews acoustic prosody studies in right-hemisphere damage, finding weak effects and highlighting methodological limitations.

Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis

This paper uses acoustic speech analysis to detect and assess ALS progression, achieving 79% accuracy for males and 83% for females using a mobile app dataset.