A Large-Scale Benchmark Dataset for Anomaly Detection and Rare Event Classification for Audio Forensics

A Large-Scale Benchmark Dataset for Anomaly Detection and Rare Event Classification for Audio Forensics

With the emergence of new digital technologies, a significant surge has been seen in the volume of multimedia data generated from various smart devices. Several challenges for data analysis have emerged to extract useful information from multimedia data. One such challenge is the early and accurate...

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Hlavní autoři: Ahmed Abbasi, Abdul Rehman Rehman Javed, Amanullah Yasin, Zunera Jalil, Natalia Kryvinska, Usman Tariq
Médium: Článek
Jazyk:English
Vydáno: IEEE 2022-01-01
Edice:IEEE Access
Témata:
Audio forensics
audio analysis
anomaly detection
key feature extraction
feature selection
machine learning
On-line přístup:https://ieeexplore.ieee.org/document/9755147/

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https://ieeexplore.ieee.org/document/9755147/

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