79 citations · 174 across the 10 of their papers we have counts for
20 papers
Room adaptive conditioning method for sound event classification in reverberant environments
Jaejun Lee, Donmoon Lee, Hyeong-Seok Choi +1
Ensuring performance robustness for a variety of situations that can occur in real-world environments is one of the challenging tasks in sound event classification. One of the unpr…
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…
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…
Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning
Sungkyun Chang, Donmoon Lee, Jeongsoo Park +4
Most of existing audio fingerprinting systems have limitations to be used for high-specific audio retrieval at scale. In this work, we generate a low-dimensional representation fro…
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…
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…