activity
20182022
most citedDisentangled speaker and nuisance attribute embedding for robust speaker verification

15 citations · 24 across the 4 of their papers we have counts for

collaborators

10 papers

eess.AS20221 cited

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…

eess.SP20211 cited

Continuous Monitoring of Blood Pressure with Evidential Regression

Hyeongju Kim, Woo Hyun Kang, Hyeonseung Lee +1

Photoplethysmogram (PPG) signal-based blood pressure (BP) estimation is a promising candidate for modern BP measurements, as PPG signals can be easily obtained from wearable device…

eess.AS2020

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…

eess.AS2020

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…

eess.AS202015 cited

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…

cs.SD20207 cited

WaveNODE: A Continuous Normalizing Flow for Speech Synthesis

Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang +3

In recent years, various flow-based generative models have been proposed to generate high-fidelity waveforms in real-time. However, these models require either a well-trained teach…