3 papers
cs.CV2023
NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional Visualizations
Yeong-Joon Ju, Ji-Hoon Park, Seong-Whan Lee
Despite deep learning (DL) has achieved remarkable progress in various domains, the DL models are still prone to making mistakes. This issue necessitates effective debugging tools…
cs.SD2023
VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design
Jungil Kong, Jihoon Park, Beomjeong Kim +3
Single-stage text-to-speech models have been actively studied recently, and their results have outperformed two-stage pipeline systems. Although the previous single-stage model has…
eess.SP2023
SplitAMC: Split Learning for Robust Automatic Modulation Classification
Jihoon Park, Seungeun Oh, Seong-Lyun Kim
Automatic modulation classification (AMC) is a technology that identifies a modulation scheme without prior signal information and plays a vital role in various applications, inclu…