Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …

Speaker diarization is the task of determining “who spoke when?” in an audio or video
recording that contains an unknown amount of speech and also an unknown number of …

Deep learning can be used for audio signal classification in a variety of ways. It can be used
to detect and classify various types of audio signals such as speech, music, and …

In this article, we present an account of the state of the art in acoustic scene classification
(ASC), the task of classifying environments from the sounds they produce. Starting from a …

Audio deepfakes have been increasingly emerging as a potential source of deceit, with the
development of avant-garde methods of synthetic speech generation. Hence, differentiating …

The ability to understand and manage social signals of a person we are communicating with
is the core of social intelligence. Social intelligence is a facet of human intelligence that has …

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

This paper describes an audio-based video surveillance system which automatically detects
anomalous audio events in a public square, such as screams or gunshots, and localizes the …

The aim of this paper is to investigate the feasibility of an audio-based context recognition
system. Here, context recognition refers to the automatic classification of the context or an …

In the construction industry, especially for civil infrastructure projects, a large portion of
overall project expenses are allocated towards various costs associated with heavy …