most citedVocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network

5 citations

5 papers

cs.NI20201 cited

Graph Neural Network based Service Function Chaining for Automatic Network Control

DongNyeong Heo, Stanislav Lange, Hee-Gon Kim +1

Software-defined networking (SDN) and the network function virtualization (NFV) led to great developments in software based control technology by decreasing expenditures. Service f…

eess.IV20203 cited

Accurate Alignment Inspection System for Low-resolution Automotive and Mobility LiDAR

Seontake Oh, Ji-Hwan You, Azim Eskandarian +1

A misalignment of LiDAR as low as a few degrees could cause a significant error in obstacle detection and mapping that could cause safety and quality issues. In this paper, an accu…

eess.IV20201 cited

Automatic LiDAR Extrinsic Calibration System using Photodetector and Planar Board for Large-scale Applications

Ji-Hwan You, Seon Taek Oh, Jae-Eun Park +2

This paper presents a novel automatic calibration system to estimate the extrinsic parameters of LiDAR mounted on a mobile platform for sensor misalignment inspection in the large-…

eess.AS20205 cited

VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network

Jinhyeok Yang, Junmo Lee, Youngik Kim +2

We present a novel high-fidelity real-time neural vocoder called VocGAN. A recently developed GAN-based vocoder, MelGAN, produces speech waveforms in real-time. However, it often p…

eess.IV2020

Phase retrieval by pattern classification and circular mean for robust optical testing

Ohgan Kim, Bong Ju Lee, Yun-Woo Lee +1

For the optical testing of a large mirror with a long radius of curvature, it is generally necessary to use a single-shot phase-shifting interferometer to take several measurements…