1 citations · 3 across the 15 of their papers we have counts for
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FOAdapter: A Plug-and-Play Spatial Tokenizer for Low-Bitrate FOA Speech Coding
Kirak Kim, Yoonjeong Park, Juhan Nam +2
Spatially encoded speech conveys not only linguistic information but also spatial cues. This enables listeners to distinguish and localize speakers, contributing to more natural an…
MeloDISinger: Melody-Aware & Duration-Preserving Singing Voice Editing with Audio Infilling
Yoonjeong Park, Jaekwon Im, Juhan Nam
Text-based singing voice editing (SVE) aims to revise sung lyrics while preserving the original melody, total duration, and non-edited regions. In this paper, we propose MeloDISing…
DTM-Codec: Dynamic Token Masking for VFR Speech Coding with Efficient Boundary Selection
Hoyeol Sohn, Juhan Nam
Variable frame rate (VFR) coding has recently emerged in neural speech codecs, allocating fewer frames to redundant regions and more frames to rapidly changing speech. VFR must tra…
AdaTT: Text-Guided Instrument Timbre Transfer with Target-Adaptive Structural Control
Dabin Kim, Junwon Lee, Juhan Nam
This paper addresses timbral ambiguity in instrument timbre transfer under fine-grained structural conditions. We argue this issue stems from instrument-specific expressive details…
SAGA-SR: Semantically and Acoustically Guided Audio Super-Resolution
Jaekwon Im, Juhan Nam
Versatile audio super-resolution (SR) aims to predict high-frequency components from low-resolution audio across diverse domains such as speech, music, and sound effects. Existing…
FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation
Jaekwon Im, Juhan Nam
Versatile audio super-resolution (SR) is the challenging task of restoring high-frequency components from low-resolution audio with sampling rates between 4kHz and 32kHz in various…
CONMOD: Controllable Neural Frame-based Modulation Effects
Gyubin Lee, Hounsu Kim, Junwon Lee +1
Deep learning models have seen widespread use in modelling LFO-driven audio effects, such as phaser and flanger. Although existing neural architectures exhibit high-quality emulati…