96 citations · 280 across the 33 of their papers we have counts for
4 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…
Does human speech follow Benford's Law?
Leo Hsu, Visar Berisha
Researchers have observed that the frequencies of leading digits in many man-made and naturally occurring datasets follow a logarithmic curve, with digits that start with the numbe…