1 citations · 1 across the 2 of their papers we have counts for
7 papers
A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children with Cleft Palate
Vikram C. Mathad, Nancy Scherer, Kathy Chapman +2
Objectives: Evaluation of hypernasality requires extensive perceptual training by clinicians and extending this training on a large scale internationally is untenable; this compoun…
Regularization via Structural Label Smoothing
Weizhi Li, Gautam Dasarathy, Visar Berisha
Regularization is an effective way to promote the generalization performance of machine learning models. In this paper, we focus on label smoothing, a form of output distribution r…
Robust Estimation of Hypernasality in Dysarthria with Acoustic Model Likelihood Features
Michael Saxon, Ayush Tripathi, Yishan Jiao +2
Hypernasality is a common characteristic symptom across many motor-speech disorders. For voiced sounds, hypernasality introduces an additional resonance in the lower frequencies an…
A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders
Rohit Voleti, Julie M. Liss, Visar Berisha
It is widely accepted that information derived from analyzing speech (the acoustic signal) and language production (words and sentences) serves as a useful window into the health o…
Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder
Rohit Voleti, Stephanie Woolridge, Julie M. Liss +3
Several studies have shown that speech and language features, automatically extracted from clinical interviews or spontaneous discourse, have diagnostic value for mental disorders…
Direct Ensemble Estimation of Density Functionals
Alan Wisler, Kevin Moon, Visar Berisha
Estimating density functionals of analog sources is an important problem in statistical signal processing and information theory. Traditionally, estimating these quantities require…