79 citations · 174 across the 11 of their papers we have counts for
4 papers · 1 filter
Reverb Conversion of Mixed Vocal Tracks Using an End-to-end Convolutional Deep Neural Network
Junghyun Koo, Seungryeol Paik, Kyogu Lee
Reverb plays a critical role in music production, where it provides listeners with spatial realization, timbre, and texture of the music. Yet, it is challenging to reproduce the mu…
Exploring Aligned Lyrics-Informed Singing Voice Separation
Chang-Bin Jeon, Hyeong-Seok Choi, Kyogu Lee
In this paper, we propose a method of utilizing aligned lyrics as additional information to improve the performance of singing voice separation. We have combined the highway networ…
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…
From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech
Hyeong-Seok Choi, Changdae Park, Kyogu Lee
This work seeks the possibility of generating the human face from voice solely based on the audio-visual data without any human-labeled annotations. To this end, we propose a multi…