19 citations · 49 across the 5 of their papers we have counts for
5 papers
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi, Juheon Lee, Wansoo Kim +3
We present a neural analysis and synthesis (NANSY) framework that can manipulate voice, pitch, and speed of an arbitrary speech signal. Most of the previous works have focused on u…
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net
Hyeong-Seok Choi, Sungjin Park, Jie Hwan Lee +3
Modern deep learning-based models have seen outstanding performance improvement with speech enhancement tasks. The number of parameters of state-of-the-art models, however, is ofte…
Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer's Dementia Recognition
Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo +2
Collecting and accessing a large amount of medical data is very time-consuming and laborious, not only because it is difficult to find specific patients but also because it is requ…
Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net
Hyeong-Seok Choi, Hoon Heo, Jie Hwan Lee +1
In this work, we tackle a denoising and dereverberation problem with a single-stage framework. Although denoising and dereverberation may be considered two separate challenging tas…
Audio query-based music source separation
Jie Hwan Lee, Hyeong-Seok Choi, Kyogu Lee
In recent years, music source separation has been one of the most intensively studied research areas in music information retrieval. Improvements in deep learning lead to a big pro…