Results 91 to 100 of about 21,877 (187)

Detecting Audio Copy-Move Forgeries on Mel Spectrograms via Hybrid Keypoint Features

Applied Sciences
With the widespread use of audio editing software and artificial intelligence, it has become very easy to forge audio files. One type of these forgeries is copy-move forgery, which is achieved by copying a segment from an audio file and placing it in a ...
Ezgi Ozgen, Seyma Yucel Altay
doaj   +1 more source

Audio Deep Fake Detection with Sonic Sleuth Model

Computers
Information dissemination and preservation are crucial for societal progress, especially in the technological age. While technology fosters knowledge sharing, it also risks spreading misinformation.
Anfal Alshehri, Danah Almalki, Eaman Alharbi, Somayah Albaradei   +3 more
doaj   +1 more source

Detecting Deepfake Audio Using Spectrogram-Based Machine Learning Approaches

IEEE Access
The increasing ability of deep learning models to produce realistic-sounding synthetic speech poses serious problems for privacy, public trust, and digital security.
Ritushree Bohara, Amit Kumar Bairwa
doaj   +1 more source

POLIPHONE: A Dataset for Smartphone Model Identification From Audio Recordings

IEEE Access
When dealing with multimedia data, source attribution is a key challenge from a forensic perspective. This task aims to determine how a given content was captured, providing valuable insights for various applications, including legal proceedings and ...
Davide Salvi, Daniele Ugo Leonzio, Antonio Giganti, Claudio Eutizi, Sara Mandelli, Paolo Bestagini, Stefano Tubaro   +6 more
doaj   +1 more source

DeepFakes: a New Threat to Face Recognition? Assessment and Detection

, 2018
It is becoming increasingly easy to automatically replace a face of one person in a video with the face of another person by using a pre-trained generative adversarial network (GAN).
Korshunov, Pavel, Marcel, Sebastien
core  

Exploring the Effectiveness of the Phase Features on Double Compressed AMR Speech Detection

Applied Sciences
Determining whether an audio signal is single compressed (SC) or double compressed (DC) is a crucial task in audio forensics, as it is closely linked to the integrity of the recording.
Aykut Büker, Cemal Hanilçi
doaj   +1 more source

Array of vector vortex beam for audio security

JPhys Photonics
Structured light beams, particularly vector vortex beams, have gained significant attention for secure high-capacity data encoding due to their spatially varying polarization and associated orbital angular momentum. These beams theoretically offer access
Allarakha Shikder, Sudheesh K Rajput, Naveen K Nishchal, Osamu Matoba, Yasuhiro Awatsuji   +4 more
doaj   +1 more source

Synthetic Audio Forensics Evaluation (SAFE) Challenge

The increasing realism of synthetic speech generated by advanced text-to-speech (TTS) models, coupled with post-processing and laundering techniques, presents a significant challenge for audio forensic detection. In this paper, we introduce the SAFE (Synthetic Audio Forensics Evaluation) Challenge, a fully blind evaluation framework designed to ...
Trapeznikov, Kirill, Cummer, Paul, Pherwani, Pranay, Aslam, Jai, Davinroy, Michael S., Bautista, Peter, Cassani, Laura, Stamm, Matthew, Crisman, Jill   +8 more
openaire   +1 more source

Forensic deepfake audio detection using segmental speech features

This study explores the potential of using acoustic features of segmental speech sounds to detect deepfake audio. These features are highly interpretable because of their close relationship with human articulatory processes and are expected to be more difficult for deepfake models to replicate.
Yang, Tianle, Sun, Chengzhe, Lyu, Siwei, Rose, Phil   +3 more
openaire   +2 more sources

A behavioral health needs assessment and general psychological well-being of digital and multimedia forensic examiners. [PDF]

J Forensic Sci
Tyagi S, Seigfried-Spellar KC.
europepmc   +1 more source