no code implementations • 2 Apr 2024 • Ali Akram, Marija Stanojevic, Malikeh Ehghaghi, Jekaterina Novikova
This represents a significant step in developing more versatile and efficient speaker verification systems for cognitive and mental health clinical trials that can be used across a wide range of languages and dialects, substantially reducing the effort required to develop speaker verification systems for multiple languages.
2 code implementations • 20 Mar 2024 • Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, Luke Meyers, Vlad Karpukhin, Brian Benedict, Mark McQuade, Jacob Solawetz
The rapid expansion of the open-source language model landscape presents an opportunity to merge the competencies of these model checkpoints by combining their parameters.
no code implementations • 20 Jun 2023 • Malikeh Ehghaghi, Marija Stanojevic, Ali Akram, Jekaterina Novikova
Detecting duplicate patient participation in clinical trials is a major challenge because repeated patients can undermine the credibility and accuracy of the trial's findings and result in significant health and financial risks.
no code implementations • NAACL (CLPsych) 2022 • Mashrura Tasnim, Malikeh Ehghaghi, Brian Diep, Jekaterina Novikova
Automated diagnosis systems of such disorders, empowered by recent innovations in Artificial Intelligence, can pave the way to reduce the sufferings of the affected individuals.
no code implementations • COLING (WNUT) 2022 • Malikeh Ehghaghi, Frank Rudzicz, Jekaterina Novikova
In this work, we investigate the ability of clustering approaches in distinguishing between depression and dementia from human speech.