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 …

The speech signal is like the black box of human beings where much information is hidden.
The treatment of this signal provides us with the speaker's identity. In a way, it is similar to an …

Automatically recognizing and tracking construction equipment activities is the first step
towards performance monitoring of a job site. Recognizing equipment activities helps …

Kinematic chains are ensembles of elements that integrate, among other components, with
the induction motors, the mechanical couplings, and the loads to provide support to the …

This paper gives deeper insight into the range of recent approaches developed and
reported in the literature specifically for monophonic acoustic event classification (AEC) …

Environmental sound classification (ESC) is one of the fundamental study areas for digital
forensics and machine learning. A novel textural feature extractor which is ternary and …

Abstract Sound Event Localization and Detection (SELD) is the task of spatial and temporal
localization of various sound events and their classification. Commonly, multitask models …

Emotion recognition commonly relies on single-modal recognition methods, such as voice
and video signals, which demonstrate a good practicability and universality in some …

The sound event recognition (SER) task is gaining lot of importance in emerging
applications such as machine audition, audio surveillance, and environmental audio scene …

Subways play a significant role in urban rail transit. A monitoring technology for abnormal
noise in subway vehicles is studied in this paper to ensure safety. Microphones are placed …