A Survey on Speech Deepfake Detection
The availability of smart devices leads to an exponential increase in multimedia content.
However, advancements in deep learning have also enabled the creation of highly …
However, advancements in deep learning have also enabled the creation of highly …
The codecfake dataset and countermeasures for the universally detection of deepfake audio
With the proliferation of Audio Language Model (ALM) based deepfake audio, there is an
urgent need for generalized detection methods. ALM-based deepfake audio currently …
urgent need for generalized detection methods. ALM-based deepfake audio currently …
Easy, Interpretable, Effective: openSMILE for voice deepfake detection
In this paper, we demonstrate that attacks in the latest ASVspoof5 dataset--a de facto
standard in the field of voice authenticity and deepfake detection--can be identified with …
standard in the field of voice authenticity and deepfake detection--can be identified with …
Text-to-speech synthesis in the wild
Text-to-speech (TTS) systems are traditionally trained using modest databases of studio-
quality, prompted or read speech collected in benign acoustic environments such as …
quality, prompted or read speech collected in benign acoustic environments such as …
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition
Current research in audio deepfake detection is gradually transitioning from binary
classification to multi-class tasks, referred as audio deepfake source tracing task. However …
classification to multi-class tasks, referred as audio deepfake source tracing task. However …
WavLM model ensemble for audio deepfake detection
Audio deepfake detection has become a pivotal task over the last couple of years, as many
recent speech synthesis and voice cloning systems generate highly realistic speech …
recent speech synthesis and voice cloning systems generate highly realistic speech …
Optimizing a-dcf for spoofing-robust speaker verification
Automatic speaker verification (ASV) systems are vulnerable to spoofing attacks. We
propose a spoofing-robust ASV system optimized directly for the recently introduced …
propose a spoofing-robust ASV system optimized directly for the recently introduced …
SpoofCeleb: Speech Deepfake Detection and SASV In The Wild
This paper introduces SpoofCeleb, a dataset designed for Speech Deepfake Detection
(SDD) and Spoofing-robust Automatic Speaker Verification (SASV), utilizing source data …
(SDD) and Spoofing-robust Automatic Speaker Verification (SASV), utilizing source data …
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
X Wang, H Delgado, H Tak, J Jung, H Shim… - arxiv preprint arxiv …, 2025 - arxiv.org
ASVspoof 5 is the fifth edition in a series of challenges which promote the study of speech
spoofing and deepfake attacks as well as the design of detection solutions. We introduce the …
spoofing and deepfake attacks as well as the design of detection solutions. We introduce the …
Vision Graph Non-Contrastive Learning for Audio Deepfake Detection with Limited Labels
Recent advancements in audio deepfake detection have leveraged graph neural networks
(GNNs) to model frequency and temporal interdependencies in audio data, effectively …
(GNNs) to model frequency and temporal interdependencies in audio data, effectively …