Sound event localization and detection (SELD) involves identifying the direction-of-arrival
(DOA) and the event class. The SELD methods with a class-wise output format make the …

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 …

Recent advancements in multimodal large language models (MLLMs) have aimed to
integrate and interpret data across diverse modalities. However, the capacity of these …

It is a well-established practice to build a robust system for sound event detection by training
supervised deep learning models on large datasets, but audio data collection and labeling …

Sound source localization (SSL) and approaching are essential capabilities for robots with
auditory sensing. However, most existing methods for SSL only provide the direction of …

Deep neural networks are a promising tool for Audio Event Classification. In contrast to other
data like natural images, there are many sensible and non-obvious representations for …

Acoustic sensing has been widely exploited for the early detection of harmful situations in
urban environments: in particular, several siren identification algorithms based on deep …

Sound event localization and detection (SELD) systems estimate direction-of-arrival (DOA)
and temporal activation for sets of target classes. Neural network (NN)-based SELD systems …

The paper considers methods of collecting audio information about traffic events. The
analysis of existing approaches to the extraction of audio patterns is given, the advantages …

As highly automated vehicles reach higher deployment rates, they find themselves in
increasingly dangerous situations. Knowing that the consequence of a crash is significant for …