Study a deep learning-based audio classification for detecting the distance of UAV

D Utebayeva, A Yembergenova - 2024 IEEE International …, 2024‏ - ieeexplore.ieee.org
Recently, drones have become widely used in almost everyday life and at many crowded
events due to their versatility. There were incidents involving them, both intentional and …

Independent channel residual convolutional network for gunshot detection

J Bajzik, J Prinosil, R Jarina… - International Journal of …, 2022‏ - search.proquest.com
The main purpose of this work is to propose a robust approach for dangerous sound events
detection (eg gunshots) to improve recent surveillance systems. Despite the fact that the …

Hyperparameter optimization for impulsive sound classifiers

A Mendes, P Trigo, J Paulo - Procedia Computer Science, 2024‏ - Elsevier
The detection and identification of impulsive sounds applied in a specific context, particularly
in sports events, enables the analysis and synthesis of various metrics and statistics …

Efficient feature set developed for acoustic gunshot detection in open space

M Sigmund, M Hrabina - Elektronika ir Elektrotechnika, 2021‏ - eejournal.ktu.lt
This paper presents an efficient approach to automatic gunshot detection based on a
combination of two feature sets: adapted standard sound features and hand-crafted novel …

Various Acoustic-Based Emergency Vehicle Detection Techniques: A Review

A Chandra, G Singh - 2023 2nd International Conference on …, 2023‏ - ieeexplore.ieee.org
This review paper provides a comprehensive analysis of various acoustic-based emergency
vehicle detection techniques. Emergency vehicle detection is a critical problem that needs to …

Readout for simple and precise analog acoustic impact initialization

R Sotner, L Polak, J Jerabek, A Lahiri, W Jaikla - Scientific Reports, 2021‏ - nature.com
An economic concept of acoustic shock wave sensing readout system for simple computer
processing is introduced in this work. Its application can be found in precise initialization of …

Performance of Machine Learning Classifiers in Distress Keywords Recognition for Audio Surveillance Applications

N Johari, M Mamat, A Chekima - 2021 IEEE International …, 2021‏ - ieeexplore.ieee.org
The ability to recognize distress speech is the essence of an intelligent audio surveillance
system. With this ability, the surveillance system can be configured to detect specific distress …

Intelligent classification model for holy Quran recitation Maqams

AR Rababaah - International Journal of Computational …, 2024‏ - inderscienceonline.com
Quranic recitation is a field that has been studied for centuries by scholars from different
disciplines including tajweed scholars, musicians and historians. Maqams are a system of …

МАШИНАЛЫҚ ОҚЫТУ ӘДІСТЕРІН ҚОЛДАНА ОТЫРЫП ДЫБЫСТЫ ЖІКТЕУ

ЖМ Досбаев, БС Омаров, БМ Садыкова… - Вестник Ауэс, 2022‏ - vestnik.aues.kz
Аннотация Целью исследовательской работы является повышение точности
классификации изучаемой модели с применением методов машинного обучения …

Hybrid Classification Model For Acoustic-Based Emergency Vehicle Detection

A Chandra, G Singh - 2023 6th International Conference on …, 2023‏ - ieeexplore.ieee.org
In our daily lives, transportation holds a significant priority in today's fast-paced world. This
research proposes an innovative method that makes use of vehicle-to-infrastructure …