[HTML][HTML] Audio deepfakes: A survey
Z Khanjani, G Watson, VP Janeja - Frontiers in Big Data, 2023 - frontiersin.org
A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …
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 …
Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks
Artefacts that differentiate spoofed from bona-fide utterances can reside in specific temporal
or spectral intervals. Their reliable detection usually depends upon computationally …
or spectral intervals. Their reliable detection usually depends upon computationally …
Does audio deepfake detection generalize?
Current text-to-speech algorithms produce realistic fakes of human voices, making deepfake
detection a much-needed area of research. While researchers have presented various …
detection a much-needed area of research. While researchers have presented various …
STC antispoofing systems for the ASVspoof2019 challenge
G Lavrentyeva, S Novoselov, A Tseren… - arXiv preprint arXiv …, 2019 - arxiv.org
This paper describes the Speech Technology Center (STC) antispoofing systems submitted
to the ASVspoof 2019 challenge. The ASVspoof2019 is the extended version of the previous …
to the ASVspoof 2019 challenge. The ASVspoof2019 is the extended version of the previous …
[PDF][PDF] Deep residual neural networks for audio spoofing detection
The state-of-art models for speech synthesis and voice conversion are capable of
generating synthetic speech that is perceptually indistinguishable from bonafide human …
generating synthetic speech that is perceptually indistinguishable from bonafide human …
ASSERT: Anti-spoofing with squeeze-excitation and residual networks
We present JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with
Squeeze-Excitation and Residual neTworks (ASSERT). Anti-spoofing has gathered more …
Squeeze-Excitation and Residual neTworks (ASSERT). Anti-spoofing has gathered more …
[PDF][PDF] The effect of silence and dual-band fusion in anti-spoofing system
Y Zhang12, W Wang12, P Zhang12 - Proc. Interspeech, 2021 - isca-archive.org
The current neural network based anti-spoofing systems have poor robustness. Their
performance degrades further after voice activity detection (VAD) performed, making it …
performance degrades further after voice activity detection (VAD) performed, making it …
ASVspoof 2017 Version 2.0: meta-data analysis and baseline enhancements
The now-acknowledged vulnerabilities of automatic speaker verification (ASV) technology to
spoofing attacks have spawned interests to develop so-called spoofing countermeasures …
spoofing attacks have spawned interests to develop so-called spoofing countermeasures …
Wavefake: A data set to facilitate audio deepfake detection
J Frank, L Schönherr - arXiv preprint arXiv:2111.02813, 2021 - arxiv.org
Deep generative modeling has the potential to cause significant harm to society.
Recognizing this threat, a magnitude of research into detecting so-called" Deepfakes" has …
Recognizing this threat, a magnitude of research into detecting so-called" Deepfakes" has …