3 citations · 4 across the 5 of their papers we have counts for
3 papers · 1 filter
Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection
Jianwei Zhang, Julie Liss, Suren Jayasuriya +1
Approximately 1.2% of the world's population has impaired voice production. As a result, automatic dysphonic voice detection has attracted considerable academic and clinical intere…
TorchDIVA: An Extensible Computational Model of Speech Production built on an Open-Source Machine Learning Library
Sean Kinahan, Julie Liss, Visar Berisha
The DIVA model is a computational model of speech motor control that combines a simulation of the brain regions responsible for speech production with a model of the human vocal tr…
Consonant-Vowel Transition Models Based on Deep Learning for Objective Evaluation of Articulation
Vikram C. Mathad, Julie M. Liss, Kathy Chapman +2
Spectro-temporal dynamics of consonant-vowel (CV) transition regions are considered to provide robust cues related to articulation. In this work, we propose an objective measure of…