most citedRethinking Leveraging Pre-Trained Multi-Layer Representations for Speaker Verification

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SD2025

A Robust framework for sound event localization and detection on real recordings

Jin Sob Kim, Hyun Joon Park, Wooseok Shin +1

This technical report describes the systems submitted to the DCASE2022 challenge task 3: sound event localization and detection (SELD). The task aims to detect occurrences of sound…

cs.SD20253 cited

Rethinking Leveraging Pre-Trained Multi-Layer Representations for Speaker Verification

Jin Sob Kim, Hyun Joon Park, Wooseok Shin +1

Recent speaker verification studies have achieved notable success by leveraging layer-wise output from pre-trained Transformer models. However, few have explored the advancements i…

cs.CV2025

Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model

Wooseok Shin, Jisu Kang, Hyeonki Jeong +2

In semi-supervised semantic segmentation, existing studies have shown promising results in academic settings with controlled splits of benchmark datasets. However, the potential be…

eess.AS2025

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching

Hyun Joon Park, Jeongmin Liu, Jin Sob Kim +3

We introduce RapFlow-TTS, a rapid and high-fidelity TTS acoustic model that leverages velocity consistency constraints in flow matching (FM) training. Although ordinary differentia…

cs.CV2025

TD3Net: A temporal densely connected multi-dilated convolutional network for lipreading

Byung Hoon Lee, Wooseok Shin, Sung Won Han

The word-level lipreading approach typically employs a two-stage framework with separate frontend and backend architectures to model dynamic lip movements. Each component has been…