2 papers across 2 sessions
This paper introduces AudSemThinker, an audio-language model that reasons on the semantics of sound
We develop "DroneAudioset", a dataset that provides audio recordings from drone-mounted microphones to inform noise suppression and sound classification techniques for drone-audition based human presence detection in search and rescue missions.