Results 101 to 110 of about 22,015 (202)

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

‘I'm willing to walk into violence’: The impact of personal trauma on staff compassion in secure services

Psychology and Psychotherapy: Theory, Research and Practice, Volume 99, Issue 2, Page 405-424, June 2026.
Abstract Objectives Current evidence on the impact of personal trauma on health care professionals is mixed. Some studies suggest a personal history of trauma can be a risk factor for secondary traumatisation. Other research suggests that personal experiences of trauma can help professionals to better recognise their patients' trauma symptoms.
Bethan Owen, Tobyn Bell, Katherine Berry, Brendan J. Dunlop   +3 more
wiley   +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

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

MIST: A Multilingual Dataset and Benchmark for Fine-Grained Audio Inpainting Tampering Localization

IEEE Access
Partial speech inpainting, replacing a few words within a genuine utterance via voice cloning to alter its meaning, is an emerging audio deepfake threat.
Tung Vu, Yen Nguyen, Hai Nguyen, Cuong Pham, Cong Tran   +4 more
doaj   +1 more source

Research Progress in Target Audio Processing Methods Based on Pre⁃trained Models

Shuju Caiji Yu Chuli
Target audio processing aims to recover or identify a specific target sound source from mixed audio signals based on user-provided cues. As an important branch of audio signal processing and machine listening， it plays a vital role in a wide range of ...
LIU Ju, MA Hao, LI Xiaohang, LI Yukai, SI Yuan, XING Zhikun, WANG Zhihan, SHAO Mingjie   +7 more
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

Publication Only

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

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