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Forensic analysis of digital audio recordings based on acoustic mains hum
2016 24th Signal Processing and Communication Application Conference (SIU), 2016ENF (Electrical Network Frequency), fluctuates instantaneously from its nominal value (50/60 Hz) depending on an increase or decrease in power consumption as against power production in the grid network. An ENF-sourced noise component is added into audio recordings where mains power sourced electromagnetic field or acoustic mains hum exists.
DİRİK, AHMET EMİR, Vatansever, Saffet
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Speaker Recognition for Digital Forensic Audio Analysis using Support Vector Machine
2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2020Speaker Recognition is included in pattern recognition, where one of the most critical parts is the process of data classification. In the classification, the built system must estimate the classification of data into a classroom dimension closest to the training set.
Rinda Mardhotillah +2 more
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Speaker Recognition For Digital Forensic Audio Analysis Using Learning Vector Quantization Method
2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS), 2018Presently, Biometric features are often used to identify suspects in law enforcement processes. One of these biometric features is Speaker Recognition. Speaker recognition is used to discriminate people by their voice. In this study, the problem that can be solved is how to classify audio sample that exist on the evidence with the voice of the suspect ...
Danny Bastian Manurung +2 more
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Environment Sound Recognition for Digital Audio Forensics Using Linear Predictive Coding Features
2011Linear Predictive Coding coefficients are of the main extraction feature in digital forensic. In this paper, we perform several experiments focusing on the problems of environments recognition from audio particularly for forensic application. We investigated the effect of temporal Linear Predictive Coding coefficient as feature extraction on ...
Mubarak Obaid AlQahtani +1 more
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The International Journal of Speech, Language and the Law, 2005
In a forensic authenticity examination of an audio recording, being able to prove a recording is an original or some form of copy is of paramount importance. The consumer digital audio interface defined by the IEC60958-3 standard supports the Serial Copy Management System (SCMS) protocol.
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In a forensic authenticity examination of an audio recording, being able to prove a recording is an original or some form of copy is of paramount importance. The consumer digital audio interface defined by the IEC60958-3 standard supports the Serial Copy Management System (SCMS) protocol.
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Journal of Arabian Peninsula Centre for Medical and Applied Researches
The aim of this research is to explore the role of visual and audio digital forensics in proving cybercrimes and preserving biodiversity in the Republic of Yemen. The researchers employed a descriptive analytical documentary methodology. The sample comprised dozens of reference documents, electronic publications, and previous studies to ensure ...
Anas Abu Ali +3 more
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The aim of this research is to explore the role of visual and audio digital forensics in proving cybercrimes and preserving biodiversity in the Republic of Yemen. The researchers employed a descriptive analytical documentary methodology. The sample comprised dozens of reference documents, electronic publications, and previous studies to ensure ...
Anas Abu Ali +3 more
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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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2013
Extracting the Electric Network Frequency (ENF) fluctuations from an audio recording and comparing it to a reference database is a new technology intended to perform forensic digital audio authentication. The objective of this thesis is to implement and design a range of programs and algorithms for capturing and extracting ENF signals.
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Extracting the Electric Network Frequency (ENF) fluctuations from an audio recording and comparing it to a reference database is a new technology intended to perform forensic digital audio authentication. The objective of this thesis is to implement and design a range of programs and algorithms for capturing and extracting ENF signals.
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Robust Speech Hashing for Digital Audio Forensics
Applied Sciences (Switzerland), 2020Diego Renza
exaly