2 papers
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.LG2026
Data-driven Lake Water Quality Forecasting for Time Series with Missing Data using Machine Learning
Rishit Chatterjee, Tahiya Chowdhury
Volunteer-led lake monitoring yields irregular, seasonal time series with many gaps arising from ice cover, weather-related access constraints, and occasional human errors, complic…