4 citations · 5 across the 4 of their papers we have counts for
4 papers
Listen through the Sound: Generative Speech Restoration Leveraging Acoustic Context Representation
Soo-Whan Chung, Min-Seok Choi
This paper introduces a novel approach to speech restoration by integrating a context-related conditioning strategy. Specifically, we employ the diffusion-based generative restorat…
Speak in the Scene: Diffusion-based Acoustic Scene Transfer toward Immersive Speech Generation
Miseul Kim, Soo-Whan Chung, Youna Ji +2
This paper introduces a novel task in generative speech processing, Acoustic Scene Transfer (AST), which aims to transfer acoustic scenes of speech signals to diverse environments.…
An empirical study on speech restoration guided by self supervised speech representation
Jaeuk Byun, Youna Ji, Soo Whan Chung +2
Enhancing speech quality is an indispensable yet difficult task as it is often complicated by a range of degradation factors. In addition to additive noise, reverberation, clipping…
Diffusion-based Generative Speech Source Separation
Robin Scheibler, Youna Ji, Soo-Whan Chung +3
We propose DiffSep, a new single channel source separation method based on score-matching of a stochastic differential equation (SDE). We craft a tailored continuous time diffusion…