activity
20142026
most citedA Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders

96 citations · 280 across the 33 of their papers we have counts for

collaborators

36 papers

cs.ET2026

Towards clinical adoption of voice and speech as measures of health: the need for harmonization

Nicholas Cummins, Vikram Ramanarayanan, Daniel Low +9

Speech and voice are multidimensional signals that capture both communicative intent and underlying physiological processes, providing a unique, non-invasive window into health. An…

cs.CL2026

Quantifying Consonant Contributions to Word Intelligibility via Acoustic Masking

Eunjung Yeo, Kwanghee Choi, Krupaben Kothadia +4

Consonants contribute unequally to whether a word is understood. Given the limited time available for therapy, ranking consonants by contribution to intelligibility helps prioritiz…

cs.CL2026

Multilingual Dysarthric Speech Assessment Using Universal Phone Recognition and Language-Specific Phonemic Contrast Modeling

Eunjung Yeo, Julie M. Liss, Visar Berisha +1

The growing prevalence of neurological disorders associated with dysarthria motivates the need for automated intelligibility assessment methods that are applicalbe across languages…

cs.LG2025

Matched-Pair Experimental Design with Active Learning

Weizhi Li, Gautam Dasarathy, Visar Berisha

Matched-pair experimental designs aim to detect treatment effects by pairing participants and comparing within-pair outcome differences. In many situations, the overall effect size…

stat.ML2025

MAGIC: Multi-task Gaussian process for joint imputation and classification in healthcare time series

Dohyun Ku, Catherine D. Chong, Visar Berisha +2

Time series analysis has emerged as an important tool for improving patient diagnosis and management in healthcare applications. However, these applications commonly face two criti…

cs.CY2025★ 3 cited

PRAC3 (Privacy, Reputation, Accountability, Consent, Credit, Compensation): Long Tailed Risks of Voice Actors in AI Data-Economy

Tanusree Sharma, Yihao Zhou, Visar Berisha

Early large-scale audio datasets, such as LibriSpeech, were built with hundreds of individual contributors whose voices were instrumental in the development of speech technologies,…