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Soyeon Choe

3 accepted papers

2023

An Empirical Study on Speech Restoration Guided by Self-Supervised Speech Representation

ICASSP 2023accepted

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, and speech attenuation can all adversely affect speech quality. Speech restoration aims to recover speech components f…

Cited by 0SourceScholar
2023

Diffusion-Based Generative Speech Source Separation

ICASSP 2023accepted

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-mixing process starting from the separated sources and converging to a Gaussian distribution centered on their mixture.…

Cited by 0SourceScholar
2020

The Sound of My Voice: Speaker Representation Loss for Target Voice Separation

ICASSP 2020accepted

Content and style representations have been widely studied in the field of style transfer. In this paper, we propose a new loss function using speaker content representation for audio source separation, and we call it speaker representation loss. The objective is to extract the target speaker voice…

Cited by 0SourceScholar