4 papers · 1 filter
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…
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…
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…
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…