collaborators

5 papers

cs.CL2026

How Reliable Are Multimodal Signals of Conversational State? Evidence from Remote Dyadic Collaborative Tasks

Tahiya Chowdhury

Measuring conversational states such as cognitive load and conversational power from multimodal behavior requires characteristic features that are not only predictive but also reli…

cs.SD2026

Efficiency-Performance Trade-offs in Neural Speaker Diarization via Structured Pruning and Low-Bit Quantization

Rishit Chatterjee, Tahiya Chowdhury

Streaming speaker diarization is crucial for time-critical medical dispatch, but deploying it on resource-constrained hardware requires smaller, faster models. Using SIMSAMU, a dat…

cs.HC2026

SpheriCity: Designing Trustworthy Conversational AI for Sustainability Decision Support

Ahmed Qayyum, Madison Werner, Kathryn Youngblood +2

We present SpheriCity, an expert-grounded conversational prototype designed to support trustworthy knowledge sensemaking from sustainability reports. City-level circularity assessm…

cs.LG2026

Predicting Cognitive Load from Speech and Interaction Dynamics in Dyadic Conversations

Tahiya Chowdhury

Estimating cognitive load from speech has largely been studied in controlled laboratory settings, with limited understanding of its reliability in natural collaborative conversatio…

eess.AS2025

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling

Tahiya Chowdhury, Veronica Romero

Machine learning-based behavioral models rely on features extracted from audio-visual recordings. The recordings are processed using open-source tools to extract speech features fo…