Advances in multimedia data acquisition and storage technology have led to the growth of
very large multimedia databases. Analyzing this huge amount of multimedia data to discover …

Acoustic Event Detection (AED) aims to identify both timestamps and types of events in an
audio stream. This becomes very challenging when going beyond restricted highlight events …

Audio feature extraction and classification are important tools for audio signal analysis in
many applications, such as multimedia indexing and retrieval, and auditory scene analysis …

This paper describes an audio event detection system which automatically classifies an
audio event as ambient noise, scream or gunshot. The classification system uses two …

The human activity that takes place in meeting rooms or classrooms is reflected in a rich
variety of acoustic events (AE), produced either by the human body or by objects handled by …

With the rapid rise of online available content, multimedia signal processing has become an
important area of research. The output of the speech/music classifier (SMC) is further used …

Speech perceptual features, such as Mel-frequency Cepstral Coefficients (MFCC), have
been widely used in acoustic event detection. However, the different spectral structures …

Automatic speech and music activity detection (SMAD) is an enabling task that can help
segment, index, and pre-process audio content in radio broadcast and TV programs …

The need to classify audio into categories such as speech or music is an important aspect of
many multimedia document retrieval systems. In this paper, we investigate audio features …

The differentiation between speech and music poses a prevalent issue in audio analytic,
specifically in dividing audio streams into segments and accurately labeling them as either …