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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 …
Add 2022: the first audio deep synthesis detection challenge
Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021.
However, the recent shared tasks have not covered many real-life and challenging …
However, the recent shared tasks have not covered many real-life and challenging …
An overview of recent work in media forensics: Methods and threats
In this paper, we review recent work in media forensics for digital images, video, audio
(specifically speech), and documents. For each data modality, we discuss synthesis and …
(specifically speech), and documents. For each data modality, we discuss synthesis and …
What to remember: Self-adaptive continual learning for audio deepfake detection
The rapid evolution of speech synthesis and voice conversion has raised substantial
concerns due to the potential misuse of such technology, prompting a pressing need for …
concerns due to the potential misuse of such technology, prompting a pressing need for …
Do you remember? overcoming catastrophic forgetting for fake audio detection
Current fake audio detection algorithms have achieved promising performances on most
datasets. However, their performance may be significantly degraded when dealing with …
datasets. However, their performance may be significantly degraded when dealing with …
Synthetic speech attribution using self supervised audio spectrogram transformer
The ability to synthesize convincing human speech has become easier due to the
availability of speech generation tools. This necessitates the development of forensics …
availability of speech generation tools. This necessitates the development of forensics …
The multi-speaker multi-style voice cloning challenge 2021
The Multi-speaker Multi-style Voice Cloning Challenge (M2VoC) aims to provide a common
sizable dataset as well as a fair testbed for the benchmarking of the popular voice cloning …
sizable dataset as well as a fair testbed for the benchmarking of the popular voice cloning …
Attentive merging of hidden embeddings from pre-trained speech model for anti-spoofing detection
Self-supervised learning (SSL) speech representation models, trained on large speech
corpora, have demonstrated effectiveness in extracting hierarchical speech embeddings …
corpora, have demonstrated effectiveness in extracting hierarchical speech embeddings …
An overview of recent work in multimedia forensics
An Overview of Recent Work in Multimedia Forensics Toggle navigation IEEE Computer Society
Digital Library Jobs Tech News Resource Center Press Room Advertising About Us IEEE IEEE …
Digital Library Jobs Tech News Resource Center Press Room Advertising About Us IEEE IEEE …
ASSD: Synthetic Speech Detection in the AAC Compressed Domain
Synthetic human speech signals have become very easy to generate given modern text-to-
speech methods. When these signals are shared on social media they are often …
speech methods. When these signals are shared on social media they are often …