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20242026
most citedTemporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

34 citations · 34 across the 10 of their papers we have counts for

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cs.SD2025

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…

cs.SD2025

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…

cs.SD2024

I2TTS: Image-indicated Immersive Text-to-speech Synthesis with Spatial Perception

Jiawei Zhang, Tian-Hao Zhang, Jun Wang +3

Controlling the style and characteristics of speech synthesis is crucial for adapting the output to specific contexts and user requirements. Previous Text-to-speech (TTS) works hav…

cs.SD2024

A Benchmark for Multi-speaker Anonymization

Xiaoxiao Miao, Ruijie Tao, Chang Zeng +1

Privacy-preserving voice protection approaches primarily suppress privacy-related information derived from paralinguistic attributes while preserving the linguistic content. Existi…

cs.SD2024★ 34 cited

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…