A Large-Scale Benchmark Dataset for Anomaly Detection and Rare Event Classification for Audio Forensics-Reference-Cited by-同舟云学术

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

Author:

Abbasi Ahmed¹,Javed Abdul Rehman Rehman²^ORCID,Yasin Amanullah³,Jalil Zunera²^ORCID,Kryvinska Natalia⁴^ORCID,Tariq Usman⁵^ORCID

Affiliation:

1. Faculty of Computing and AI, Air University, Islamabad, Pakistan

2. Department of Cyber Security, Air University, Islamabad, Pakistan

3. Department of Creative Technologies, Air University, Islamabad, Pakistan

4. Information Systems Department, Faculty of Management, Comenius University in Bratislava, Bratislava, Slovakia

5. College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference33 articles.

1. DCASE 2017 challenge setup: Tasks, datasets and baseline system;mesaros;Proc Workshop Detection Classification Acoust Scenes Events (DCASE),2017

5. Anomaly detection using audio signals;jaile,2020

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