The performance of emergency vehicle prioritization system is determined by its efficiency in
reducing the response time of the vehicles detected. Emergency vehicle (EV) detection is …

This work investigates how to detect emergency vehicles such as ambulances, fire engines,
and police cars based on their siren sounds. Recognizing that car drivers may sometimes be …

The temporal and spectral structure is possessed in the time-frequency domain by sound
events. Analyzing and classifying acoustic environment using sound recording is an …

Examples are provided for locating an emergency vehicle relative to another vehicle. An
example in-vehicle comput ing system of a first vehicle includes an alert output device, a …

This paper is about acoustic event detection and sound source localisation in urban
scenarios. Specifically, we are interested in detecting and localising horns and sirens of …

The variety of event categories and event boundary information have resulted in limited
success for acoustic event detection systems. To deal with this, we propose to utilize the …

Emergency vehicles (EVs) are permitted to travel at high speed to quickly reach the
destination with the aid of audible and visual warning signals, and other road users are …

Recently, neural network-based deep learning methods have been popularly applied to
computer vision, speech signal processing and other pattern recognition areas. Remarkable …

One of the main priorities of smart cities is improving the quality of life of their inhabitants.
Traffic noise is one of the pollutant sources that causes a negative impact on the quality of …

Algorithms for the automatic detection and recognition of acoustic events are increasingly
gaining relevance for the reliable and robust functioning of consumer, assistive and …