Digital multimedia audio forensics: past, present and future
Digital audio forensics is used for a variety of applications ranging from authenticating audio
files to link an audio recording to the acquisition device (eg, microphone), and also linking to …
files to link an audio recording to the acquisition device (eg, microphone), and also linking to …
Deepsonar: Towards effective and robust detection of ai-synthesized fake voices
With the recent advances in voice synthesis, AI-synthesized fake voices are
indistinguishable to human ears and widely are applied to produce realistic and natural …
indistinguishable to human ears and widely are applied to produce realistic and natural …
Digital audio forensics: microphone and environment classification using deep learning
The recording device along with the acoustic environment plays a major role in digital audio
forensics. We propose an acoustic source identification system in this paper, which includes …
forensics. We propose an acoustic source identification system in this paper, which includes …
Shallow and deep feature fusion for digital audio tampering detection
Digital audio tampering detection can be used to verify the authenticity of digital audio.
However, most current methods use standard electronic network frequency (ENF) databases …
However, most current methods use standard electronic network frequency (ENF) databases …
Acoustic environment identification and its applications to audio forensics
H Malik - IEEE Transactions on Information Forensics and …, 2013 - ieeexplore.ieee.org
An audio recording is subject to a number of possible distortions and artifacts. Consider, for
example, artifacts due to acoustic reverberation and background noise. The acoustic …
example, artifacts due to acoustic reverberation and background noise. The acoustic …
Source acquisition device identification from recorded audio based on spatiotemporal representation learning with multi-attention mechanisms
Source acquisition device identification from recorded audio aims to identify the source
recording device by analyzing the intrinsic characteristics of audio, which is a challenging …
recording device by analyzing the intrinsic characteristics of audio, which is a challenging …
An end-to-end deep source recording device identification system for web media forensics
Purpose Most source recording device identification models for Web media forensics are
based on a single feature to complete the identification task and often have the …
based on a single feature to complete the identification task and often have the …
Sound event detection for human safety and security in noisy environments
The objective of a sound event detector is to recognize anomalies in an audio clip and return
their onset and offset. However, detecting sound events in noisy environments is a …
their onset and offset. However, detecting sound events in noisy environments is a …
Mobile phone identification using recorded speech signals
C Kotropoulos, S Samaras - 2014 19th International …, 2014 - ieeexplore.ieee.org
In this paper, we elaborate on mobile phone identification from recorded speech signals.
The goal is to extract intrinsic traces related to the mobile phone used to record a speech …
The goal is to extract intrinsic traces related to the mobile phone used to record a speech …
Mobile phone clustering from speech recordings using deep representation and spectral clustering
Considerable attention has been paid to acquisition device recognition over the past decade
in the forensic community, especially in digital image forensics. In contrast, acquisition …
in the forensic community, especially in digital image forensics. In contrast, acquisition …