177 citations · 509 across the 26 of their papers we have counts for
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Differentiable Artificial Reverberation
Sungho Lee, Hyeong-Seok Choi, Kyogu Lee
Artificial reverberation (AR) models play a central role in various audio applications. Therefore, estimating the AR model parameters (ARPs) of a reference reverberation is a cruci…
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…