Results 81 to 90 of about 43,462 (194)
IEEE AccessThanks to advanced audio editing software, speech recordings can be tampered with very quickly. If the speech recordings are used as forensic evidence, adding the audio recordings together, cutting them, and changing their content are legally ...
Beste Ustubioglu
doaj +1 more source
Detecting Audio Copy-Move Forgeries on Mel Spectrograms via Hybrid Keypoint Features
Applied SciencesWith 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
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‘Look into my eyes’: can an instruction to maintain eye contact facilitate lie detection? [PDF]
, 2010 Fisher, R. +3 more
core +1 more source
Audio encryption using polarized light beam
APL PhotonicsIn recent years, the security of audio data has become paramount in terms of personal information, national security, and forensic evidence. However, most reported systems use digital algorithms and lack their implementation in the optical domain, which ...
Allarakha Shikder +4 more
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Forensic Audio and Voice Analysis: TV Series Reinforce False Popular Beliefs
LanguagesPeople’s perception of forensic evidence is greatly influenced by crime TV series. The analysis of the human voice is no exception. However, unlike fingerprints—with which fiction and popular beliefs draw an incorrect parallel—the human voice varies ...
Emmanuel Ferragne +8 more
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The impact of question type and empathy on police interviews with suspects of homicide, filicide and child sexual abuse [PDF]
, 2014 Cherryman, Julie +3 more
core +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 +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 +3 more
openaire +2 more sources
Generative AI-driven synthetic media risks in digital health: implications for telemedicine and teledentistry. [PDF]
Front Public HealthJędrasiak K, Bijoch J.
europepmc +1 more source