[PDF][PDF] The age of synthetic realities: Challenges and opportunities
Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …
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 …
Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild
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 …
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 …
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation
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 …
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 …
End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detection
Artefacts that serve to distinguish bona fide speech from spoofed or deepfake speech are
known to reside in specific subbands and temporal segments. Various approaches can be …
known to reside in specific subbands and temporal segments. Various approaches can be …
Investigating self-supervised front ends for speech spoofing countermeasures
Self-supervised speech model is a rapid progressing research topic, and many pre-trained
models have been released and used in various down stream tasks. For speech anti …
models have been released and used in various down stream tasks. For speech anti …
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 …