12 citations · 21 across the 5 of their papers we have counts for
5 papers
Curriculum learning for self-supervised speaker verification
Hee-Soo Heo, Jee-weon Jung, Jingu Kang +4
The goal of this paper is to train effective self-supervised speaker representations without identity labels. We propose two curriculum learning strategies within a self-supervised…
Layer Pruning on Demand with Intermediate CTC
Jaesong Lee, Jingu Kang, Shinji Watanabe
Deploying an end-to-end automatic speech recognition (ASR) model on mobile/embedded devices is a challenging task, since the device computational power and energy consumption requi…
Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields
Albert W. Reed, Hyojin Kim, Rushil Anirudh +4
Reconstructing dynamic, time-varying scenes with computed tomography (4D-CT) is a challenging and ill-posed problem common to industrial and medical settings. Existing 4D-CT recons…
Augmentation adversarial training for self-supervised speaker recognition
Jaesung Huh, Hee Soo Heo, Jingu Kang +2
The goal of this work is to train robust speaker recognition models without speaker labels. Recent works on unsupervised speaker representations are based on contrastive learning i…
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner
Yoseob Han, Jingu Kang, Jong Chul Ye
For homeland and transportation security applications, 2D X-ray explosive detection system (EDS) have been widely used, but they have limitations in recognizing 3D shape of the hid…