Subhashini Venugopalan
I work on machine learning applications motivated in
healthcare
and sciences.
Some of my work pertains to improving speech recognition systems for users
with impaired
speech, others to transfer learning for bio/medical data
(e.g. detecting diabetic
retinopathy,
breast
cancer), and I have also developed methods
to interpret such vision/audio models (model explanation) for medical applications.
During my graduate studies, I applied natural language
processing and computer vision techniques to generate descriptions of
events depicted in videos and images. I am a key contributor to a number of works featuring in
the
Healed through
A.I. documentary.
Please refer to my website (https://vsubhashini.github.io/) for more information and my Google
Scholar page for an up-to-date list of my publications.
Authored Publications
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SkipWriter: LLM-Powered Abbreviated Writing on Tablets
Zheer Xu
Mukund Varma T
Proceedings of UIST 2024 (2024)
Large Language Models as a Proxy For Human Evaluation in Assessing the Comprehensibility of Disordered Speech Transcription
Katrin Tomanek
Richard Cave
Katie Seaver
Jordan Green
Rus Heywood
Proceedings of ICASSP, IEEE (2024)
Practical Challenges for Investigating Abbreviation Strategies
Elisa Kreiss
CHI 2023 Workshop on Assistive Writing, ACM (2023) (to appear)
Speech Intelligibility Classifiers from 550k Disordered Speech Samples
Katie Seaver
Richard Cave
Neil Zeghidour
Rus Heywood
Jordan Green
ICASSP, Icassp submission. 2022 (2023)
SpeakFaster Observer: Long-Term Instrumentation of Eye-Gaze Typing for Measuring AAC Communication
Katrin Tomanek
Richard Jonathan Noel Cave
Bob MacDonald
Jon Campbell
Blair Casey
Emily Kornman
Daniel Vance
Jay Beavers
CHI23 Case Studies of HCI in Practice (2023) (to appear)
Context-Aware Abbreviation Expansion Using Large Language Models
Katrin Tomanek
Ajit Narayanan
Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2022 (2022) (to appear)
Assessing ASR Model Quality on Disordered Speech using BERTScore
Qisheng Li
Katie Seaver
Richard Jonathan Noel Cave
Katrin Tomanek
Proc. 1st Workshop on Speech for Social Good (S4SG) (2022), pp. 26-30 (to appear)
A Machine-Learning Based Objective Measure for ALS disease progression
Fernando Viera
Alan S Premasiri
Maeve McNally
Steven Perrin
npj Digital Medicine (2022)
Scaling Symbolic Methods using Gradients for Neural Model Explanation
Subham Sekhar Sahoo
Li Li
Rishabh Singh
Patrick Francis Riley
International Conference on Learning Representations (ICLR) (2021)
