Detecting sound objects in audio recordings

In this paper we explore the idea of defining sound objects and how they may be detected. We try to define sound objects and demonstrate by our experiments the existence of these objects. Most of current works on acoustic event detection focus on detecting a finite set of audio events and the detection of a generic object in sound is not done. The major reason for proposing the idea of sound objects is to work with a generic sound concept instead of working with a small set of acoustic events for detection as is the norm. Our definition tries to conform to notions present in human auditory perception. Our experimental results are promising, and show that the idea of sound objects is worth pursuing and that it could give a new direction to semi-supervised or unsupervised learning of acoustic event detection mechanisms.