Audio deepfake detection: A survey
Audio deepfake detection is an emerging active topic. A growing number of literatures have
aimed to study deepfake detection algorithms and achieved effective performance, the …
aimed to study deepfake detection algorithms and achieved effective performance, the …
Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors
Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …
learning make deepfakes highly believable, and very difficult to differentiate between what is …
Learning from yourself: A self-distillation method for fake speech detection
In this paper, we propose a novel self-distillation method for fake speech detection (FSD),
which can significantly improve the performance of FSD without increasing the model …
which can significantly improve the performance of FSD without increasing the model …
From Audio Deepfake Detection to AI-Generated Music Detection--A Pathway and Overview
As Artificial Intelligence (AI) technologies continue to evolve, their use in generating realistic,
contextually appropriate content has expanded into various domains. Music, an art form and …
contextually appropriate content has expanded into various domains. Music, an art form and …
Detection of cross-dataset fake audio based on prosodic and pronunciation features
Existing fake audio detection systems perform well in in-domain testing, but still face many
challenges in out-of-domain testing. This is due to the mismatch between the training and …
challenges in out-of-domain testing. This is due to the mismatch between the training and …
A lightweight feature extraction technique for deepfake audio detection
N Chakravarty, M Dua - Multimedia Tools and Applications, 2024 - Springer
The emergence of audio deepfakes has prompted concerns over reputational integrity and
dependability. Deepfakes with audio can now be produced more easily, which makes it …
dependability. Deepfakes with audio can now be produced more easily, which makes it …
Dual-Branch Knowledge Distillation for Noise-Robust Synthetic Speech Detection
Most research in synthetic speech detection (SSD) focuses on improving performance on
standard noise-free datasets. However, in actual situations, noise interference is usually …
standard noise-free datasets. However, in actual situations, noise interference is usually …
Detecting Audio Deepfakes: Integrating CNN and BiLSTM with Multi-Feature Concatenation
Audio deepfake detection is emerging as a crucial field in digital media, as distinguishing
real audio from deepfakes becomes increasingly challenging due to the advancement of …
real audio from deepfakes becomes increasingly challenging due to the advancement of …
Multi-perspective Information Fusion Res2Net with RandomSpecmix for Fake Speech Detection
In this paper, we propose the multi-perspective information fusion (MPIF) Res2Net with
random Specmix for fake speech detection (FSD). The main purpose of this system is to …
random Specmix for fake speech detection (FSD). The main purpose of this system is to …
ABC-CapsNet: Attention based Cascaded Capsule Network for Audio Deepfake Detection
In response to the escalating challenge of audio deepfake detection this study introduces
ABC-CapsNet (Attention-Based Cascaded Capsule Network) a novel architecture that …
ABC-CapsNet (Attention-Based Cascaded Capsule Network) a novel architecture that …