Search Results for author: Ji Won Kim

Found 5 papers, 2 papers with code

GIST-AiTeR Speaker Diarization System for VoxCeleb Speaker Recognition Challenge (VoxSRC) 2023

no code implementations15 Aug 2023 Dongkeon Park, Ji Won Kim, Kang Ryeol Kim, Do Hyun Lee, Hong Kook Kim

This report describes the submission system by the GIST-AiTeR team for the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23) Track 4.

speaker-diarization Speaker Diarization +1

Semi-supervsied Learning-based Sound Event Detection using Freuqency Dynamic Convolution with Large Kernel Attention for DCASE Challenge 2023 Task 4

no code implementations10 Jun 2023 Ji Won Kim, Sang Won Son, Yoonah Song, Hong Kook Kim, Il Hoon Song, Jeong Eun Lim

The proposed FDY with LKA-CRNN with a BEATs embedding network is initially trained on the entire DCASE 2023 Task 4 dataset using the mean-teacher approach, generating pseudo-labels for weakly labeled, unlabeled, and the AudioSet.

Event Detection Pseudo Label +1

GIST-AiTeR System for the Diarization Task of the 2022 VoxCeleb Speaker Recognition Challenge

no code implementations21 Sep 2022 Dongkeon Park, Yechan Yu, Kyeong Wan Park, Ji Won Kim, Hong Kook Kim

This report describes the submission system of the GIST-AiTeR team at the 2022 VoxCeleb Speaker Recognition Challenge (VoxSRC) Track 4.

Action Detection Activity Detection +3

On Measuring Gender Bias in Translation of Gender-neutral Pronouns

1 code implementation WS 2019 Won Ik Cho, Ji Won Kim, Seok Min Kim, Nam Soo Kim

However, detection and evaluation of gender bias in the machine translation systems are not yet thoroughly investigated, for the task being cross-lingual and challenging to define.

Ethics Image Captioning +3

Giving Space to Your Message: Assistive Word Segmentation for the Electronic Typing of Digital Minorities

1 code implementation31 Oct 2018 Won Ik Cho, Sung Jun Cheon, Woo Hyun Kang, Ji Won Kim, Nam Soo Kim

For readability and disambiguation of the written text, appropriate word segmentation is recommended for documentation, and it also holds for the digitized texts.

Segmentation

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