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Australian Journal of Forensic Sciences Volume 50, 2018 - Issue 5
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Original Articles

A novel audio forensic data-set for digital multimedia forensics

Muhammad Khurram KhanCenter of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh, Saudi ArabiaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0001-6636-0533
ORCID Icon,
Mohammed ZakariahCollege of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaORCID Iconhttp://orcid.org/0000-0002-2488-2605
ORCID Icon,
Hafiz MalikDepartment of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USAORCID Iconhttp://orcid.org/0000-0001-6006-3888
ORCID Icon &
Kim-Kwang Raymond ChooSchool of Information Technology & Mathematical Sciences, University of South Australia, Adelaide, AustraliaORCID Iconhttp://orcid.org/0000-0001-9208-5336
ORCID Icon
Pages 525-542 | Received 29 May 2016, Accepted 06 Feb 2017, Published online: 24 Mar 2017

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Erhan Akbal, Turker Tuncer & Sengul Dogan. (2022) Vehicle Interior Sound Classification Based on Local Quintet Magnitude Pattern and Iterative Neighborhood Component Analysis. Applied Artificial Intelligence 36:1.
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Yeşim ÜLGEN SÖNMEZ & Asaf VAROL. (2024) In-depth investigation of speech emotion recognition studies from past to present –The importance of emotion recognition from speech signal for AI–. Intelligent Systems with Applications 22, pages 200351.
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Fulya Akdeniz & Yaşar Becerikli. (2024) Detecting audio copy-move forgery with an artificial neural network. Signal, Image and Video Processing 18:3, pages 2117-2133.
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K.V. Sriram & R.H. Havaldar. (2024) Chronological Gazelle Optimization with Deep Learning-Based pixel prediction for video steganography in H.264 video for defence applications. Journal of Visual Communication and Image Representation 98, pages 104024.
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Fulya AKDENİZ & Yaşar BECERİKLİ. (2023) Dijital Multimedya Verilerinin Güvenliği ve Sahtecilik TespitiSecurity of Digital Multimedia Data and Forgery Detection. Turkish Journal of Forensic Medicine 37:3, pages 87-93.
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Mustafa Qamhan, Yousef A. Alotaibi & Sid-Ahmed Selouani. (2023) Source Microphone Identification Using Swin Transformer. Applied Sciences 13:12, pages 7112.
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Mustafa Qamhan, Yousef A. Alotaibi & Sid Ahmed Selouani. (2023) Transformer for authenticating the source microphone in digital audio forensics. Forensic Science International: Digital Investigation 45, pages 301539.
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Yeşim Ülgen Sönmez & Asaf Varol. (2022) The Necessity of Emotion Recognition from Speech Signals for Natural and Effective Human-Robot Interaction in Society 5.0. The Necessity of Emotion Recognition from Speech Signals for Natural and Effective Human-Robot Interaction in Society 5.0.
A. Pramod Reddy & Vijayarajan V.. (2021) Fusion Based AER System Using Deep Learning Approach for Amplitude and Frequency Analysis. ACM Transactions on Asian and Low-Resource Language Information Processing 21:3, pages 1-19.
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Nikolaos Vryzas, Anastasia Katsaounidou, Lazaros Vrysis, Rigas Kotsakis & Charalampos Dimoulas. (2022) A Prototype Web Application to Support Human-Centered Audiovisual Content Authentication and Crowdsourcing. Future Internet 14:3, pages 75.
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Ramadhan J. Mstafa. (2022) Reversible Video Steganography Using Quick Response Codes and Modified ElGamal Cryptosystem. Computers, Materials & Continua 72:2, pages 3349-3368.
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Vijay Prakash, Alex Williams, Lalit Garg, Claudio Savaglio & Seema Bawa. (2021) Cloud and Edge Computing-Based Computer Forensics: Challenges and Open Problems. Electronics 10:11, pages 1229.
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Bako Zawali, Richard A. Ikuesan, Victor R. Kebande, Steven Furnell & Arafat A-Dhaqm. (2021) Realising a Push Button Modality for Video-Based Forensics. Infrastructures 6:4, pages 54.
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Mohamed A. Elaskily, Heba A. Elnemr, Ahmed Sedik, Mohamed M. Dessouky, Ghada M. El Banby, Osama A. Elshakankiry, Ashraf A. M. Khalaf, Heba K. Aslan, Osama S. Faragallah & Fathi E. Abd El-Samie. (2020) A novel deep learning framework for copy-moveforgery detection in images. Multimedia Tools and Applications 79:27-28, pages 19167-19192.
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Ramadhan J. Mstafa, Younis Mohammed Younis, Haval Ismael Hussein & Muhsin Atto. (2020) A New Video Steganography Scheme Based on Shi-Tomasi Corner Detector. IEEE Access 8, pages 161825-161837.
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Abdul Malik Badshah, Nasir Rahim, Noor Ullah, Jamil Ahmad, Khan Muhammad, Mi Young Lee, Soonil Kwon & Sung Wook Baik. (2017) Deep features-based speech emotion recognition for smart affective services. Multimedia Tools and Applications 78:5, pages 5571-5589.
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