no code implementations • 20 Jan 2021 • Minsu Jang, Sangwon Seo, Dohyung Kim, Jaeyeon Lee, Jaehong Kim, Jun-Hwan Ahn
This paper introduces a large-scale Korean speech dataset, called VOTE400, that can be used for analyzing and recognizing voices of the elderly people.
2 code implementations • 4 Sep 2020 • Youngwoo Yoon, Bok Cha, Joo-Haeng Lee, Minsu Jang, Jaeyeon Lee, Jaehong Kim, Geehyuk Lee
In this paper, we present an automatic gesture generation model that uses the multimodal context of speech text, audio, and speaker identity to reliably generate gestures.
Ranked #2 on Gesture Generation on BEAT
1 code implementation • 4 Sep 2020 • Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim
In addition, we provide the joint angles of a humanoid NAO robot which are converted from the human behavior that robots need to learn.
Robotics
1 code implementation • 4 Mar 2020 • Jinhyeok Jang, Dohyung Kim, Cheonshu Park, Minsu Jang, Jaeyeon Lee, Jaehong Kim
To cope with this situation, we introduce a new dataset called ETRI-Activity3D, focusing on the daily activities of the elderly in robot-view.
no code implementations • 26 Sep 2019 • Woo-han Yun, Taewoo Kim, Jaeyeon Lee, Jaehong Kim, Junmo Kim
Then, we show that the original cut-and-paste approach suffers from a new domain gap problem, an unbalanced domain gaps, because it has two separate source domains for foreground and background, unlike the conventional domain shift problem.
no code implementations • 21 Nov 2018 • Jinhyeok Jang, Jaehong Kim, Jaeyeon Lee, Seungjoon Yang
This work presents an adaptive activation method for neural networks that exploits the interdependency of features.
5 code implementations • ICRA 2019 • Youngwoo Yoon, Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim, Geehyuk Lee
Co-speech gestures enhance interaction experiences between humans as well as between humans and robots.
Robotics
no code implementations • 11 Sep 2018 • Jinhyeok Jang, Hyunjoong Cho, Jaehong Kim, Jaeyeon Lee, Seungjoon Yang
As a result, features learned by the nodes are sorted by the node indices in the order of their importance.