10 citations · 16 across the 5 of their papers we have counts for
5 papers
Semi-supervsied Learning-based Sound Event Detection using Freuqency Dynamic Convolution with Large Kernel Attention for DCASE Challenge 2023 Task 4
Ji Won Kim, Sang Won Son, Yoonah Song +3
This report proposes a frequency dynamic convolution (FDY) with a large kernel attention (LKA)-convolutional recurrent neural network (CRNN) with a pre-trained bidirectional encode…
GIST-AiTeR System for the Diarization Task of the 2022 VoxCeleb Speaker Recognition Challenge
Dongkeon Park, Yechan Yu, Kyeong Wan Park +2
This report describes the submission system of the GIST-AiTeR team at the 2022 VoxCeleb Speaker Recognition Challenge (VoxSRC) Track 4. Our system mainly includes speech enhancemen…
Auxiliary Loss of Transformer with Residual Connection for End-to-End Speaker Diarization
Yechan Yu, Dongkeon Park, Hong Kook Kim
End-to-end neural diarization (EEND) with self-attention directly predicts speaker labels from inputs and enables the handling of overlapped speech. Although the EEND outperforms c…
Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4
Nam Kyun Kim, Hong Kook Kim
This report proposes a polyphonic sound event detection (SED) method for the DCASE 2021 Challenge Task 4. The proposed SED model consists of two stages: a mean-teacher model for pr…
Polyphonic sound event detection based on convolutional recurrent neural networks with semi-supervised loss function for DCASE challenge 2020 task 4
Nam Kyun Kim, Hong Kook Kim
This report proposes a polyphonic sound event detection (SED) method for the DCASE 2020 Challenge Task 4. The proposed SED method is based on semi-supervised learning to deal with…