Hye-jin Shim

Hye-jin Shim

University of Seoul

H-index: 18

Asia-South Korea

About Hye-jin Shim

Hye-jin Shim, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Seoul, specializes in the field of Deep learning, Speech processing, Speaker recognition, Anti-spoofing, Acoustic scene classification.

His recent articles reflect a diverse array of research interests and contributions to the field:

ASVspoof 5 Evaluation Plan

Towards single integrated spoofing-aware speaker verification embeddings

How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning

Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing

Integrated receptive field diversification method for improving speaker verification performance for variable-length utterances

RawNeXt: Speaker verification system for variable-duration utterances with deep layer aggregation and extended dynamic scaling policies

Large-scale learning of generalised representations for speaker recognition

Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks

Hye-jin Shim Information

University

Position

___

Citations(all)

1030

Citations(since 2020)

1007

Cited By

270

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

University of Seoul

Google Scholar

View Google Scholar Profile

Hye-jin Shim Skills & Research Interests

Deep learning

Speech processing

Speaker recognition

Anti-spoofing

Acoustic scene classification

Top articles of Hye-jin Shim

Title

Journal

Author(s)

Publication Date

ASVspoof 5 Evaluation Plan

Héctor Delgado

Nicholas Evans

Jeeweon Jung

Tomi Kinnunen

Ivan Kukanov

...

2023/6/30

Towards single integrated spoofing-aware speaker verification embeddings

ISCA Interspeech 2023

Sung Hwan Mun*

Hye-jin Shim*

Hemlata Tak*

Xin Wang

Xuechen Liu

...

2023/9

How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning

ISCA Interspeech 2023

Hye-jin Shim

Rosa González Hautamäki

Md Sahidullah

Tomi Kinnunen

2023/5/31

Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing

ISCA Interspeech 2023

Hye-jin Shim

Jee-weon Jung

Tomi Kinnunen

2023/9

Integrated receptive field diversification method for improving speaker verification performance for variable-length utterances

The Journal of the Acoustical Society of Korea

Hyun-seo Shin

Ju-ho Kim

Jungwoo Heo

Hye-jin Shim

Ha-Jin Yu

2022

RawNeXt: Speaker verification system for variable-duration utterances with deep layer aggregation and extended dynamic scaling policies

Ju-ho Kim

Hye-jin Shim

Jungwoo Heo

Ha-Jin Yu

2022/5/23

Large-scale learning of generalised representations for speaker recognition

arXiv preprint arXiv:2210.10985

Jee-weon Jung

Hee-Soo Heo

Bong-Jin Lee

Jaesong Lee

Hye-jin Shim

...

2022/10/20

Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks

Jee-weon Jung

Hee-Soo Heo

Hemlata Tak

Hye-jin Shim

Joon Son Chung

...

2022/5/23

Baseline systems for the first spoofing-aware speaker verification challenge: score and embedding fusion

Hye-jin Shim

Hemlata Tak

Xuechen Liu

Hee-Soo Heo

Jee-weon Jung

...

2022/4/21

Extended U-Net for Speaker Verification in Noisy Environments

Ju-ho Kim

Jungwoo Heo

Hye-jin Shim

Ha-Jin Yu

2022/6/27

Attentive max feature map and joint training for acoustic scene classification

Hye-jin Shim

Jee-weon Jung

Ju-ho Kim

Ha-Jin Yu

2022/5/23

SASV 2022: The First Spoofing-Aware Speaker Verification Challenge

Jee-weon Jung*

Hemlata Tak*

Hye-jin Shim

Hee-Soo Heo

Bong-Jin Lee

...

2022/9

Graph attentive feature aggregation for text-independent speaker verification

Hye-jin Shim

Jungwoo Heo

Jae-Han Park

Ga-Hui Lee

Ha-Jin Yu

2022/5/23

Sasv challenge 2022: A spoofing aware speaker verification challenge evaluation plan

arXiv preprint arXiv:2201.10283

Jee-weon Jung

Hemlata Tak

Hye-jin Shim

Hee-Soo Heo

Bong-Jin Lee

...

2022/1/25

A supervised learning method for improving the generalization of speaker verification systems by learning metrics from a mean teacher

Applied Sciences

Ju-Ho Kim

Hye-Jin Shim

Jee-Weon Jung

Ha-Jin Yu

2021/12/22

DCASENet: An integrated pretrained deep neural network for detecting and classifying acoustic scenes and events

Jee-weon Jung

Hye-jin Shim

Ju-ho Kim

Ha-Jin Yu

2021/6/6

CLOVA SUBMISSION FOR THE DCASE 2021 CHALLENGE: ACOUSTIC SCENE CLASSIFICATION USING LIGHT ARCHITECTURES AND DEVICE AUGMENTATION

DCASE2021 Challenge, Tech. Rep

Hee-Soo Heo*

Jee-weon Jung*

Hye-jin Shim

Bong-Jin Lee

2021

Segment unit shuffling layer in deep neural networks for text-independent speaker verification

The Journal of the Acoustical Society of Korea

Jungwoo Heo

Hye-jin Shim

Ju-ho Kim

Ha-Jin Yu

2021

Audio Tag Representation Guided Dual Attention Network for Acoustic Scene Classification

Ju-ho Kim

Jee-weon Jung

Hye-jin Shim

Ha-jin Yu

2020

Segment Aggregation for short utterances speaker verification using raw waveforms

ISCA Interspeech 2020

Seung-bin Kim

Jee-weon Jung

Hye-jin Shim

Ju-ho Kim

Ha-Jin Yu

2020/5/7

See List of Professors in Hye-jin Shim University(University of Seoul)