5 citations · 8 across the 5 of their papers we have counts for
5 papers
RECA-PD: A Robust Explainable Cross-Attention Method for Speech-based Parkinson's Disease Classification
Terry Yi Zhong, Cristian Tejedor-Garcia, Martha Larson +1
Parkinson's Disease (PD) affects over 10 million people globally, with speech impairments often preceding motor symptoms by years, making speech a valuable modality for early, non-…
Evaluating the Effectiveness of Pre-Trained Audio Embeddings for Classification of Parkinson's Disease Speech Data
Emmy Postma, Cristian Tejedor-Garcia
Speech impairments are prevalent biomarkers for Parkinson's Disease (PD), motivating the development of diagnostic techniques using speech data for clinical applications. Although…
Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers
Terry Yi Zhong, Esther Janse, Cristian Tejedor-Garcia +2
Speech-based Parkinson's disease (PD) detection has gained attention for its automated, cost-effective, and non-intrusive nature. As research studies usually rely on data from diag…
Scenario of Use Scheme: Threat Model Specification for Speaker Privacy Protection in the Medical Domain
Mehtab Ur Rahman, Martha Larson, Louis ten Bosch +1
Speech recordings are being more frequently used to detect and monitor disease, leading to privacy concerns. Beyond cryptography, protection of speech can be addressed by approache…
Equinox: neural networks in JAX via callable PyTrees and filtered transformations
Patrick Kidger, Cristian Garcia
JAX and PyTorch are two popular Python autodifferentiation frameworks. JAX is based around pure functions and functional programming. PyTorch has popularised the use of an object-o…