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Robust Anti-forensics on Audio Forensics System
2023Qingqing Wang, Dengpan Ye
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Interview with visually impaired forensic audio analysts
2016In order to address the question whether blind individuals are particularly suitable for working in the field of forensic phonetics, it was considered necessary to first look at the current situation of blind individuals who are already employed in law enforcement institutions. (For a discussion of the topic, see section 9.10 and Chapter 10).
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AI-generated synthetic audio analysis and forensic attribution
This thesis addresses critical issues in synthetic audio forensics and voice privacy protection, focusing on two main areas: synthetic audio attribution and the resilience of audio cloaking techniques against adversarial inversion attempts. With the increasing use of synthetic audio in digital media, there is an increasing need for robust methods to ...Yong, Guan +2 more
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Short-Range Audio Channels Security: Survey of Mechanisms, Applications, and Research Challenges
IEEE Communications Surveys and Tutorials, 2021Maurantonio Caprolu +2 more
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Multimodal Attentive Fusion Network for audio-visual event recognition
Information Fusion, 2022Mathilde Brousmiche +2 more
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Deep Audio Analyzer: A Novel Framework to Improve Audio Forensics Issues
2023Valerio Francesco Puglisi +2 more
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Deep Audio-Visual Speech Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Joon Son Chung +2 more
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PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
IEEE/ACM Transactions on Audio Speech and Language Processing, 2020Qiuqiang Kong, Turab Iqbal, Anhong Wang
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Machine Learning–Based Splicing Detection in Digital Audio Recordings for Audio Forensics
Journal of the Audio Engineering Society, 2021Rashmika Patole, Priti P. Rege
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Environmental Audio Scene and Sound Event Recognition for Autonomous Surveillance
ACM Computing Surveys, 2020S Chandrakala
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