84 citations · 157 across the 8 of their papers we have counts for
8 papers
Cross-modal characterization of infant cry: validation of a chest-surface accelerometer in extracting acoustic vocal function measures
Winko W. An, Saketh Sundar, Lisa Yankowitz +2
Background: Infant cry acoustics provide a promising window into early neurodevelopment and may serve as scalable biomarkers for neurodevelopmental disorders. However, conventional…
Vocal Prognostic Digital Biomarkers in Monitoring Chronic Heart Failure: A Longitudinal Observational Study
Fan Wu, Matthias P. Nägele, Daryush D. Mehta +4
Objective: This study aimed to evaluate which voice features can predict health deterioration in patients with chronic HF. Background: Heart failure (HF) is a chronic condition wit…
Classifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression
Katie Matton, Purvaja Balaji, Hamzeh Ghasemzadeh +7
Phonotrauma refers to vocal fold tissue damage resulting from exposure to forces during voicing. It occurs on a continuum from mild to severe, and treatment options can vary based…
Effects of Recording Condition and Number of Monitored Days on Discriminative Power of the Daily Phonotrauma Index
Hamzeh Ghasemzadeh, Robert E. Hillman, Jarrad H. Van Stan +1
Objective: The Daily Phonotrauma Index (DPI) can quantify pathophysiological mechanisms associated with daily voice use in individuals with phonotraumatic vocal hyperfunction (PVH)…
Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting
Hamzeh Ghasemzadeh, Robert E. Hillman, Daryush D. Mehta
This study's first purpose is to provide quantitative evidence that would incentivize researchers to instead use the more robust method of nested cross-validation. The second purpo…
Longitudinal Acoustic Speech Tracking Following Pediatric Traumatic Brain Injury
Camille Noufi, Adam C. Lammert, Daryush D. Mehta +6
Recommendations for common outcome measures following pediatric traumatic brain injury (TBI) support the integration of instrumental measurements alongside perceptual assessment in…
Uncovering Voice Misuse Using Symbolic Mismatch
Marzyeh Ghassemi, Zeeshan Syed, Daryush D. Mehta +3
Voice disorders affect an estimated 14 million working-aged Americans, and many more worldwide. We present the first large scale study of vocal misuse based on long-term ambulatory…
KARMA: Kalman-based autoregressive moving average modeling and inference for formant and antiformant tracking
Daryush D. Mehta, Daniel Rudoy, Patrick J. Wolfe
Vocal tract resonance characteristics in acoustic speech signals are classically tracked using frame-by-frame point estimates of formant frequencies followed by candidate selection…