Audio splicing detection and localization based on acquisition device traces

DU Leonzio, L Cuccovillo, P Bestagini… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In recent years, the multimedia forensic community has put a great effort in developing
solutions to assess the integrity and authenticity of multimedia objects, focusing especially …

Audio replay spoof attack detection by joint segment-based linear filter bank feature extraction and attention-enhanced DenseNet-BiLSTM network

L Huang, CM Pun - IEEE/ACM Transactions on Audio, Speech …, 2020 - ieeexplore.ieee.org
Most automatic speaker verification (ASV) systems are vulnerable to various spoofing
attacks. In recent years, there have been many methods were proposed for detecting …

An end-to-end transfer learning framework of source recording device identification for audio sustainable security

Z Wang, J Zhan, G Zhang, D Ouyang, H Guo - Sustainability, 2023 - mdpi.com
Source recording device identification poses a significant challenge in the field of Audio
Sustainable Security (ASS). Most existing studies on end-to-end identification of digital …

Spatial and temporal learning representation for end-to-end recording device identification

C Zeng, D Zhu, Z Wang, M Wu, W Xiong… - EURASIP Journal on …, 2021 - Springer
Deep learning techniques have achieved specific results in recording device source
identification. The recording device source features include spatial information and certain …

Squeeze-and-excitation self-attention mechanism enhanced digital audio source recognition based on transfer learning

C Zeng, Y Zhao, Z Wang, K Li, X Wan, M Liu - Circuits, Systems, and …, 2024 - Springer
Recent advances in digital audio source recognition, particularly within judicial forensics
and intellectual property rights domains, have been significantly propelled by deep learning …

Identification of fake stereo audio using SVM and CNN

T Liu, D Yan, R Wang, N Yan, G Chen - Information, 2021 - mdpi.com
The number of channels is one of the important criteria in regard to digital audio quality.
Generally, stereo audio with two channels can provide better perceptual quality than mono …

Source acquisition device identification from recorded audio based on spatiotemporal representation learning with multi-attention mechanisms

C Zeng, S Feng, D Zhu, Z Wang - Entropy, 2023 - mdpi.com
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 …

Synthesized speech attribution using the patchout spectrogram attribution transformer

K Bhagtani, ER Bartusiak, AKS Yadav… - Proceedings of the …, 2023 - dl.acm.org
The malicious use of synthetic speech has increased with the recent availability of speech
generation tools. It is important to determine whether a speech signal is authentic (spoken …

Transformer-based speech synthesizer attribution in an open set scenario

ER Bartusiak, EJ Delp - 2022 21st IEEE International …, 2022 - ieeexplore.ieee.org
Speech synthesis methods can create realistic-sounding speech, which may be used for
fraud, spoofing, and mis-information campaigns. Forensic methods that detect synthesized …

Smartphones identification through the built-in microphones with convolutional neural network

G Baldini, I Amerini - IEEE Access, 2019 - ieeexplore.ieee.org
The use of mobile phones or smartphones has become so widespread that most people rely
on them for many services and applications like sending e-mails, checking the bank …