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Fsd50k: an open dataset of human-labeled sound events
Most existing datasets for sound event recognition (SER) are relatively small and/or domain-
specific, with the exception of AudioSet, based on over 2 M tracks from YouTube videos and …
specific, with the exception of AudioSet, based on over 2 M tracks from YouTube videos and …
Gunshots detection, identification, and classification: Applications to forensic science
Y Teng, K Zhang, X Lv, Q Miao, T Zang, A Yu, A Hui… - Science & Justice, 2024 - Elsevier
The proliferation of audio sensors in surveillance, smartphones, and numerous devices has
made gunshots-based event detection and forensic analysis critical for prompt police action …
made gunshots-based event detection and forensic analysis critical for prompt police action …
Dominant noise-aided EMD (DEMD): Extending empirical mode decomposition for noise reduction by incorporating dominant noise and deep classification
Biomedical signals are frequently contaminated by colored noise; consequently, noise
recognition and reduction are critical to biomedical systems. Conventional techniques have …
recognition and reduction are critical to biomedical systems. Conventional techniques have …
Sound of guns: digital forensics of gun audio samples meets artificial intelligence
Classifying a weapon based on its muzzle blast is a challenging task that has significant
applications in various security and military fields. Most of the existing works rely on ad-hoc …
applications in various security and military fields. Most of the existing works rely on ad-hoc …
[HTML][HTML] A fast identification method of gunshot types based on knowledge distillation
J Li, J Guo, X Sun, C Li, L Meng - Applied Sciences, 2022 - mdpi.com
To reduce the large size of a gunshot recognition network model and to improve the
insufficient real-time detection in urban combat, this paper proposes a fast gunshot type …
insufficient real-time detection in urban combat, this paper proposes a fast gunshot type …
An automated gunshot audio classification method based on finger pattern feature generator and iterative relieff feature selector
Audio forensics applications and methods are very crucial to clarify crimes. To accelerate
audio analysis process and classify audios with high accuracy, machine learning (ML) …
audio analysis process and classify audios with high accuracy, machine learning (ML) …
A new fractal H-tree pattern based gun model identification method using gunshot audios
Background Gun model identification (GMI) is a complex issue for digital forensics
examiners/professions. Because the GMI process is a highly costed process, and it is …
examiners/professions. Because the GMI process is a highly costed process, and it is …
[HTML][HTML] A gunshot recognition method based on multi-scale spectrum shift module
J Li, J Guo, M Ma, Y Zeng, C Li, J Xu - Electronics, 2022 - mdpi.com
In view of the issues such as the larger network model and lower recognition accuracy of the
current gunshot recognition networks, a neural network based on a multi-scale spectrum …
current gunshot recognition networks, a neural network based on a multi-scale spectrum …
Feature extraction of surround sound recordings for acoustic scene classification
This paper extends the traditional methodology of acoustic scene classification based on
machine listening towards a new class of multichannel audio signals. It identifies a set of …
machine listening towards a new class of multichannel audio signals. It identifies a set of …
Effect of sampling rate reduction and signal filtering for gunfire sound classification with spectral vector using ANN
To identify the type of the shooting gun, there are many important parameters to be
considered. One key feature is the gunfire sound. It has been shown [1, 2] that applying the …
considered. One key feature is the gunfire sound. It has been shown [1, 2] that applying the …