51 citations · 100 across the 15 of their papers we have counts for
6 papers · 1 filter
Attentive activation function for improving end-to-end spoofing countermeasure systems
Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
The main objective of the spoofing countermeasure system is to detect the artifacts within the input speech caused by the speech synthesis or voice conversion process. In order to…
Robust Speech Representation Learning via Flow-based Embedding Regularization
Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
Over the recent years, various deep learning-based methods were proposed for extracting a fixed-dimensional embedding vector from speech signals. Although the deep learning-based e…
Unsupervised Representation Learning for Speaker Recognition via Contrastive Equilibrium Learning
Sung Hwan Mun, Woo Hyun Kang, Min Hyun Han +1
In this paper, we propose a simple but powerful unsupervised learning method for speaker recognition, namely Contrastive Equilibrium Learning (CEL), which increases the uncertainty…
Robust Text-Dependent Speaker Verification via Character-Level Information Preservation for the SdSV Challenge 2020
Sung Hwan Mun, Woo Hyun Kang, Min Hyun Han +1
This paper describes our submission to Task 1 of the Short-duration Speaker Verification (SdSV) challenge 2020. Task 1 is a text-dependent speaker verification task, where both the…
Disentangled speaker and nuisance attribute embedding for robust speaker verification
Woo Hyun Kang, Sung Hwan Mun, Min Hyun Han +1
Over the recent years, various deep learning-based embedding methods have been proposed and have shown impressive performance in speaker verification. However, as in most of the cl…
Gated Recurrent Context: Softmax-free Attention for Online Encoder-Decoder Speech Recognition
Hyeonseung Lee, Woo Hyun Kang, Sung Jun Cheon +2
Recently, attention-based encoder-decoder (AED) models have shown state-of-the-art performance in automatic speech recognition (ASR). As the original AED models with global attenti…