Despite surveillance systems becoming increasingly ubiquitous in our living environment,
automated surveillance, currently based on video sensory modality and machine …

Monitoring of human and social activities is becoming increasingly pervasive in our living
environment for public security and safety applications. The recognition of suspicious events …

Recently, studies have been performed on harmony features for speech emotion
recognition. It is found in our study that the first-and second-order differences of harmony …

For intelligent systems to make best use of the audio modality, it is important that they can
recognize not just speech and music, which have been researched as specific tasks, but …

In the last decades, several systems based on video analysis have been proposed for
automatically detecting accidents on roads to ensure a quick intervention of emergency …

In this paper we propose a novel method for the detection of audio events for surveillance
applications. The method is based on the bag of words approach, adapted to deal with the …

Novelty detection in the machine learning context refers to identifying unknown/novel data,
ie, data which vary greatly from the ones that the system was trained with. This paper …

Affective Computing systems can detect the emotional state and mindset of an individual.
Speech Emotion Recognition (SER) is a unimodal affect computing system based on …

In this work, a novel region switching based classification method is proposed for speech
emotion classification using vowel-like regions (VLRs) and non-vowel-like regions (non …

Abstract Evaluation of sound event detection, classification and localization of hazardous
acoustic events in the presence of background noise of different types and changing …