1 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition
Ilker Demirel, Karan Thakkar, Benjamin Elizalde +7
Sensor data streams provide valuable information around activities and context for downstream applications, though integrating complementary information can be challenging. We show…
Speech Foundation Models Generalize to Time Series Tasks from Wearable Sensor Data
Jaya Narain, Zakaria Aldeneh, Shirley Ren
Both speech and sensor time series data encode information in both the time- and frequency- domains, like spectral powers and waveform shapelets. We show that speech foundation mod…
Affect Models Have Weak Generalizability to Atypical Speech
Jaya Narain, Amrit Romana, Vikramjit Mitra +2
Speech and voice conditions can alter the acoustic properties of speech, which could impact the performance of paralinguistic models for affect for people with atypical speech. We…
Towards Time Series Reasoning with LLMs
Winnie Chow, Lauren Gardiner, Haraldur T. Hallgrímsson +2
Multi-modal large language models (MLLMs) have enabled numerous advances in understanding and reasoning in domains like vision, but we have not yet seen this broad success for time…