352 citations · 849 across the 13 of their papers we have counts for
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eess.AS2020★ 322 cited
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
Andy T. Liu, Shang-Wen Li, Hung-yi Lee
We introduce a self-supervised speech pre-training method called TERA, which stands for Transformer Encoder Representations from Alteration. Recent approaches often learn by using…
cs.CL2020★ 4 cited
Understanding Self-Attention of Self-Supervised Audio Transformers
Shu-wen Yang, Andy T. Liu, Hung-yi Lee
Self-supervised Audio Transformers (SAT) enable great success in many downstream speech applications like ASR, but how they work has not been widely explored yet. In this work, we…
eess.AS2020★ 10 cited
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
Haibin Wu, Andy T. Liu, Hung-yi Lee
High-performance anti-spoofing models for automatic speaker verification (ASV), have been widely used to protect ASV by identifying and filtering spoofing audio that is deliberatel…