50 citations · 51 across the 5 of their papers we have counts for
5 papers
Beyond Binary: Multiclass Paraphasia Detection with Generative Pretrained Transformers and End-to-End Models
Matthew Perez, Aneesha Sampath, Minxue Niu +1
Aphasia is a language disorder that can lead to speech errors known as paraphasias, which involve the misuse, substitution, or invention of words. Automatic paraphasia detection ca…
Seq2seq for Automatic Paraphasia Detection in Aphasic Speech
Matthew Perez, Duc Le, Amrit Romana +3
Paraphasias are speech errors that are often characteristic of aphasia and they represent an important signal in assessing disease severity and subtype. Traditionally, clinicians m…
Articulatory Coordination for Speech Motor Tracking in Huntington Disease
Matthew Perez, Amrit Romana, Angela Roberts +4
Huntington Disease (HD) is a progressive disorder which often manifests in motor impairment. Motor severity (captured via motor score) is a key component in assessing overall HD se…
Aphasic Speech Recognition using a Mixture of Speech Intelligibility Experts
Matthew Perez, Zakaria Aldeneh, Emily Mower Provost
Robust speech recognition is a key prerequisite for semantic feature extraction in automatic aphasic speech analysis. However, standard one-size-fits-all automatic speech recogniti…
Classification of Huntington Disease using Acoustic and Lexical Features
Matthew Perez, Wenyu Jin, Duc Le +4
Speech is a critical biomarker for Huntington Disease (HD), with changes in speech increasing in severity as the disease progresses. Speech analyses are currently conducted using e…