Computational Audition with Imprecise Labels
Thesis Defense, Language Technologies Institute, Carnegie Mellon University, ASA Conference Room, Gates Hillman 6115 and Zoom
Event website Sounds are essential to our environment, enabling us to interact effectively. This thesis explores how to teach machines to interpret the acoustic landscape, emulating human auditory abilities.
