5 citations · 15 across the 8 of their papers we have counts for
9 papers
Robust Cross-Domain Speech-Based Alzheimer's Disease Detection via Iterative Adversarial Self-Training
Luqi Sun, Shreeram Suresh Chandra, Aurosweta Mahapatra +3
As Alzheimer's disease (AD) has increasingly become a major global public health issue, speech-based AD detection has attracted widespread attention. However, most existing methods…
Cleaner Speech, Weaker Generalization: Revisiting Pitt-Derived Benchmarks for Alzheimer's Disease Detection
Luqi Sun, Shreeram Suresh Chandra, Lin Zhang +5
Speech-based Alzheimer's disease (AD) detection increasingly relies on speech-enhanced and curated versions of the Pitt Corpus, where speech enhancement, sample selection, and demo…
Connected Speech-Based Cognitive Assessment in Chinese and English
Saturnino Luz, Sofia De La Fuente Garcia, Fasih Haider +6
We present a novel benchmark dataset and prediction tasks for investigating approaches to assess cognitive function through analysis of connected speech. The dataset consists of sp…
Evaluating Picture Description Speech for Dementia Detection using Image-text Alignment
Youxiang Zhu, Nana Lin, Xiaohui Liang +3
Using picture description speech for dementia detection has been studied for 30 years. Despite the long history, previous models focus on identifying the differences in speech patt…
A New Benchmark of Aphasia Speech Recognition and Detection Based on E-Branchformer and Multi-task Learning
Jiyang Tang, William Chen, Xuankai Chang +2
Aphasia is a language disorder that affects the speaking ability of millions of patients. This paper presents a new benchmark for Aphasia speech recognition and detection tasks usi…
Multilingual Alzheimer's Dementia Recognition through Spontaneous Speech: a Signal Processing Grand Challenge
Saturnino Luz, Fasih Haider, Davida Fromm +3
This Signal Processing Grand Challenge (SPGC) targets a difficult automatic prediction problem of societal and medical relevance, namely, the detection of Alzheimer's Dementia (AD)…