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20222025
most citedSelf-refining of Pseudo Labels for Music Source Separation with Noisy Labeled Data

2 citations · 2 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.SD2025

Towards Bitrate-Efficient and Noise-Robust Speech Coding with Variable Bitrate RVQ

Yunkee Chae, Kyogu Lee

Residual Vector Quantization (RVQ) has become a dominant approach in neural speech and audio coding, providing high-fidelity compression. However, speech coding presents additional…

cs.SD2025

MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction

Yunkee Chae, Kyogu Lee

We present MGE-LDM, a unified latent diffusion framework for simultaneous music generation, source imputation, and query-driven source separation. Unlike prior approaches constrain…

cs.SD2024

Variable Bitrate Residual Vector Quantization for Audio Coding

Yunkee Chae, Woosung Choi, Yuhta Takida +8

Recent state-of-the-art neural audio compression models have progressively adopted residual vector quantization (RVQ). Despite this success, these models employ a fixed number of c…

cs.SD2023

Exploiting Time-Frequency Conformers for Music Audio Enhancement

Yunkee Chae, Junghyun Koo, Sungho Lee +1

With the proliferation of video platforms on the internet, recording musical performances by mobile devices has become commonplace. However, these recordings often suffer from degr…

cs.SD2022

Show Me the Instruments: Musical Instrument Retrieval from Mixture Audio

Kyungsu Kim, Minju Park, Haesun Joung +4

As digital music production has become mainstream, the selection of appropriate virtual instruments plays a crucial role in determining the quality of music. To search the musical…