34 citations · 41 across the 15 of their papers we have counts for
9 papers · 1 filter
Learning as Deepfakes Evolve: RF-Prompt for Continual Audio Deepfake Detection
Yuankun Xie, Xiaoxuan Guo, Xiaopeng Wang +3
Continual audio deepfake detection requires learning newly emerging deepfake methods while retaining discrimination of previously encountered speech. Existing dataset-incremental e…
Boundary and Intra-Segment Learning for Partial Audio Deepfake Localization
Zhe Ye, Xiangui Kang, Minhua Huang +3
Partial audio deepfakes manipulate only selected speech regions, making them difficult to be localized. Existing methods exploit boundary cues for partial deepfake localization, bu…
BiMTokenizer: Preserving Semantic-Acoustic Balance in Low-Bitrate Speech Tokenization via Bidirectional State-Space Modeling
Xin Zhang, Lin Li, Chuanbo Liu +2
Speech codecs serve as bridges between continuous speech signals and large language models, yet face an inherent conflict between acoustic fidelity and semantic preservation. To mi…
U3-xi: Pushing the Boundaries of Speaker Recognition by Incorporating Uncertainty
Junjie Li, Kong Aik Lee
An utterance-level speaker embedding is typically obtained by aggregating a sequence of frame-level representations. However, in real-world scenarios, individual frames encode not…
Speaking Clearly: A Simplified Whisper-Based Codec for Low-Bitrate Speech Coding
Xin Zhang, Lin Li, Xiangni Lu +2
Speech codecs serve as bridges between continuous speech signals and large language models, yet face an inherent conflict between acoustic fidelity and semantic preservation. To mi…
Addressing Gradient Misalignment in Data-Augmented Training for Robust Speech Deepfake Detection
Duc-Tuan Truong, Tianchi Liu, Junjie Li +3
In speech deepfake detection (SDD), data augmentation (DA) is commonly used to improve model generalization across varied speech conditions and spoofing attacks. However, during tr…
QAMO: Quality-aware Multi-centroid One-class Learning For Speech Deepfake Detection
Duc-Tuan Truong, Tianchi Liu, Ruijie Tao +3
Recent work shows that one-class learning can detect unseen deepfake attacks by modeling a compact distribution of bona fide speech around a single centroid. However, the single-ce…
Robust Localization of Partially Fake Speech: Metrics and Out-of-Domain Evaluation
Hieu-Thi Luong, Inbal Rimon, Haim Permuter +2
Partial audio deepfake localization poses unique challenges and remain underexplored compared to full-utterance spoofing detection. While recent methods report strong in-domain per…
Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection
Duc-Tuan Truong, Ruijie Tao, Tuan Nguyen +3
Recent synthetic speech detectors leveraging the Transformer model have superior performance compared to the convolutional neural network counterparts. This improvement could be du…