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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 …
Battling voice spoofing: a review, comparative analysis, and generalizability evaluation of state-of-the-art voice spoofing counter measures
With the advent of automated speaker verification (ASV) systems comes an equal and
opposite development: malicious actors may seek to use voice spoofing attacks to fool those …
opposite development: malicious actors may seek to use voice spoofing attacks to fool those …
Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild
X Liu, X Wang, M Sahidullah, J Patino… - … on Audio, Speech …, 2023 - ieeexplore.ieee.org
Benchmarking initiatives support the meaningful comparison of competing solutions to
prominent problems in speech and language processing. Successive benchmarking …
prominent problems in speech and language processing. Successive benchmarking …
Avoid-df: Audio-visual joint learning for detecting deepfake
Recently, deepfakes have raised severe concerns about the authenticity of online media.
Prior works for deepfake detection have made many efforts to capture the intra-modal …
Prior works for deepfake detection have made many efforts to capture the intra-modal …
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation
H Tak, M Todisco, X Wang, J Jung, J Yamagishi… - arxiv preprint arxiv …, 2022 - arxiv.org
The performance of spoofing countermeasure systems depends fundamentally upon the use
of sufficiently representative training data. With this usually being limited, current solutions …
of sufficiently representative training data. With this usually being limited, current solutions …
Uniaudio: Towards universal audio generation with large language models
Audio generation is a major branch of generative AI research. Compared with prior works in
this area that are commonly task-specific with heavy domain knowledge, this paper …
this area that are commonly task-specific with heavy domain knowledge, this paper …
ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale
ASVspoof 5 is the fifth edition in a series of challenges that promote the study of speech
spoofing and deepfake attacks, and the design of detection solutions. Compared to previous …
spoofing and deepfake attacks, and the design of detection solutions. Compared to previous …
Mlaad: The multi-language audio anti-spoofing dataset
Text-to-Speech (TTS) technology brings significant advantages, such as giving a voice to
those with speech impairments, but also enables audio deepfakes and spoofs. The former …
those with speech impairments, but also enables audio deepfakes and spoofs. The former …
Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges
H Liz-Lopez, M Keita, A Taleb-Ahmed, A Hadid… - Information …, 2024 - Elsevier
Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …
the advantages, the applications to disinformation are concerning as the counter-measures …
SASV 2022: The first spoofing-aware speaker verification challenge
The first spoofing-aware speaker verification (SASV) challenge aims to integrate research
efforts in speaker verification and anti-spoofing. We extend the speaker verification scenario …
efforts in speaker verification and anti-spoofing. We extend the speaker verification scenario …