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
Showing cs.CLShow all

6 papers · 1 filter

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.CL2022★ 1 cited

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…

cs.CL2019★ 96 cited

A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders

Rohit Voleti, Julie M. Liss, Visar Berisha

It is widely accepted that information derived from analyzing speech (the acoustic signal) and language production (words and sentences) serves as a useful window into the health o…

cs.CL2019★ 3 cited

Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder

Rohit Voleti, Stephanie Woolridge, Julie M. Liss +3

Several studies have shown that speech and language features, automatically extracted from clinical interviews or spontaneous discourse, have diagnostic value for mental disorders…

cs.CL2018★ 17 cited

Investigating the Effects of Word Substitution Errors on Sentence Embeddings

Rohit Voleti, Julie M. Liss, Visar Berisha

A key initial step in several natural language processing (NLP) tasks involves embedding phrases of text to vectors of real numbers that preserve semantic meaning. To that end, sev…