15 citations · 36 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang +2
Flow-based generative models are composed of invertible transformations between two random variables of the same dimension. Therefore, flow-based models cannot be adequately traine…