activity
20232026
most citedSeeing Through the Conversation: Audio-Visual Speech Separation based on Diffusion Model

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2026

LRS-VoxMM: A benchmark for in-the-wild audio-visual speech recognition

Doyeop Kwak, Jeongsoo Choi, Suyeon Lee +1

We introduce LRS-VoxMM, an in-the-wild benchmark for audio-visual speech recognition (AVSR). The benchmark is derived from VoxMM, a dataset of diverse real-world spoken conversatio…

cs.MM2026

Cinematic Audio Source Separation Using Visual Cues

Kang Zhang, Suyeon Lee, Arda Senocak +1

Cinematic Audio Source Separation (CASS) aims to decompose mixed film audio into speech, music, and sound effects, enabling applications like dubbing and remastering. Existing CASS…

eess.AS2026

Plug-and-Steer: Decoupling Separation and Selection in Audio-Visual Target Speaker Extraction

Doyeop Kwak, Suyeon Lee, Joon Son Chung

The goal of this paper is to provide a new perspective on audio-visual target speaker extraction (AV-TSE) by decoupling separation and target selection. Conventional AV-TSE systems…

cs.SD2025

Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation

Kang Zhang, Trung X. Pham, Suyeon Lee +3

We present MGAudio, a novel flow-based framework for open-domain video-to-audio generation, which introduces model-guided dual-role alignment as a central design principle. Unlike…

eess.AS2024

FlowAVSE: Efficient Audio-Visual Speech Enhancement with Conditional Flow Matching

Chaeyoung Jung, Suyeon Lee, Ji-Hoon Kim +1

This work proposes an efficient method to enhance the quality of corrupted speech signals by leveraging both acoustic and visual cues. While existing diffusion-based approaches hav…

eess.AS2023★ 1 cited

Seeing Through the Conversation: Audio-Visual Speech Separation based on Diffusion Model

Suyeon Lee, Chaeyoung Jung, Youngjoon Jang +2

The objective of this work is to extract target speaker's voice from a mixture of voices using visual cues. Existing works on audio-visual speech separation have demonstrated their…

cs.CV2023★ 1 cited

TalkNCE: Improving Active Speaker Detection with Talk-Aware Contrastive Learning

Chaeyoung Jung, Suyeon Lee, Kihyun Nam +4

The goal of this work is Active Speaker Detection (ASD), a task to determine whether a person is speaking or not in a series of video frames. Previous works have dealt with the tas…