most citedCharacterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

eess.SP2020

TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers

Karel Mundnich, Brandon M. Booth, Michelle L'Hommedieu +11

We present a novel longitudinal multimodal corpus of physiological and behavioral data collected from direct clinical providers in a hospital workplace. We designed the study to in…

eess.AS2019★ 2 cited

Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting

Arindam Jati, Amrutha Nadarajan, Karel Mundnich +1

Devices capable of detecting and categorizing acoustic scenes have numerous applications such as providing context-aware user experiences. In this paper, we address the task of cha…