The analysis of acoustic data typically discusses the problem of segmenting the acoustic
events into non-overlapping acoustically compact categories. In Acoustic Event Detection
(AED), an acoustic event is categorized into speech and non-speech events. Detection of
non-speech sounds such as scream, gun shots, explosions, and glass break events is very
helpful in acoustic surveillance, multimedia information retrieval, and acoustic forensic
applications. In this paper, we propose global statistical features-based representation for …