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20182026
most citedTemporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

34 citations · 81 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.SD2026

WeDefense: A Toolkit to Defend Against Fake Audio

Lin Zhang, Johan Rohdin, Xin Wang +8

The advances in generative AI have enabled the creation of synthetic audio which is perceptually indistinguishable from real, genuine audio. Although this stellar progress enables…

cs.SD2025

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…

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…

cs.SD2021★ 3 cited

LaughNet: synthesizing laughter utterances from waveform silhouettes and a single laughter example

Hieu-Thi Luong, Junichi Yamagishi

Emotional and controllable speech synthesis is a topic that has received much attention. However, most studies focused on improving the expressiveness and controllability in the co…

cs.SD2021

Preliminary study on using vector quantization latent spaces for TTS/VC systems with consistent performance

Hieu-Thi Luong, Junichi Yamagishi

Generally speaking, the main objective when training a neural speech synthesis system is to synthesize natural and expressive speech from the output layer of the neural network wit…