10 citations · 16 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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…