15 citations · 44 across the 12 of their papers we have counts for
13 papers
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…
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…
WAY: Estimation of Vessel Destination in Worldwide AIS Trajectory
Jin Sob Kim, Hyun Joon Park, Wooseok Shin +2
The Automatic Identification System (AIS) enables data-driven maritime surveillance but suffers from reliability issues and irregular intervals. We address vessel destination estim…
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…
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…
Layer-aware TDNN: Speaker Recognition Using Multi-Layer Features from Pre-Trained Models
Jin Sob Kim, Hyun Joon Park, Wooseok Shin +2
Recent advances in self-supervised learning (SSL) on Transformers have significantly improved speaker verification (SV) by providing domain-general speech representations. However,…
DEX-TTS: Diffusion-based EXpressive Text-to-Speech with Style Modeling on Time Variability
Hyun Joon Park, Jin Sob Kim, Wooseok Shin +1
Expressive Text-to-Speech (TTS) using reference speech has been studied extensively to synthesize natural speech, but there are limitations to obtaining well-represented styles and…
PrevMatch: Revisiting and Maximizing Temporal Knowledge in Semi-Supervised Semantic Segmentation
Wooseok Shin, Hyun Joon Park, Jin Sob Kim +3
In semi-supervised semantic segmentation, the Mean Teacher- and co-training-based approaches are employed to mitigate confirmation bias and coupling problems. However, despite thei…
TriAAN-VC: Triple Adaptive Attention Normalization for Any-to-Any Voice Conversion
Hyun Joon Park, Seok Woo Yang, Jin Sob Kim +2
Voice Conversion (VC) must be achieved while maintaining the content of the source speech and representing the characteristics of the target speaker. The existing methods do not si…
AD-YOLO: You Look Only Once in Training Multiple Sound Event Localization and Detection
Jin Sob Kim, Hyun Joon Park, Wooseok Shin +1
Sound event localization and detection (SELD) combines the identification of sound events with the corresponding directions of arrival (DOA). Recently, event-oriented track output…
Multi-View Attention Transfer for Efficient Speech Enhancement
Wooseok Shin, Hyun Joon Park, Jin Sob Kim +2
Recent deep learning models have achieved high performance in speech enhancement; however, it is still challenging to obtain a fast and low-complexity model without significant per…
MANNER: Multi-view Attention Network for Noise Erasure
Hyun Joon Park, Byung Ha Kang, Wooseok Shin +2
In the field of speech enhancement, time domain methods have difficulties in achieving both high performance and efficiency. Recently, dual-path models have been adopted to represe…
TRACER: Extreme Attention Guided Salient Object Tracing Network
Min Seok Lee, Wooseok Shin, Sung Won Han
Existing studies on salient object detection (SOD) focus on extracting distinct objects with edge information and aggregating multi-level features to improve SOD performance. To ac…