Ju-ho Kim

Ju-ho Kim

University of Seoul

H-index: 8

Asia-South Korea

About Ju-ho Kim

Ju-ho Kim, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Seoul, specializes in the field of Speaker recognition, Deep learning.

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

HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methods

Diff-SV: A Unified Hierarchical Framework for Noise-Robust Speaker Verification Using Score-Based Diffusion Probabilistic Models

FA-ExU-Net: the simultaneous training of an embedding extractor and enhancement model for a speaker verification system robust to short noisy utterances

PAS: Partial Additive Speech Data Augmentation Method for Noise Robust Speaker Verification

One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification

WavelNet: A novel convolutional neural network architecture for arrhythmia classification from electrocardiograms

Integrated parameter-efficient tuning for general-purpose audio models

Convolution channel separation and frequency sub-bands aggregation for music genre classification

Ju-ho Kim Information

University

Position

___

Citations(all)

379

Citations(since 2020)

378

Cited By

70

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Ju-ho Kim Skills & Research Interests

Speaker recognition

Deep learning

Top articles of Ju-ho Kim

HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methods

2024/4/14

Diff-SV: A Unified Hierarchical Framework for Noise-Robust Speaker Verification Using Score-Based Diffusion Probabilistic Models

2024/4/14

FA-ExU-Net: the simultaneous training of an embedding extractor and enhancement model for a speaker verification system robust to short noisy utterances

IEEE/ACM Transactions on Audio, Speech, and Language Processing

2024/3/22

PAS: Partial Additive Speech Data Augmentation Method for Noise Robust Speaker Verification

arXiv preprint arXiv:2307.10628

2023/7/20

One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification

arXiv preprint arXiv:2305.17394

2023/5/27

WavelNet: A novel convolutional neural network architecture for arrhythmia classification from electrocardiograms

Computer Methods and Programs in Biomedicine

2023/4/1

Integrated parameter-efficient tuning for general-purpose audio models

arXiv preprint arXiv:2211.02227

2022/11/4

Convolution channel separation and frequency sub-bands aggregation for music genre classification

arXiv preprint arXiv:2211.01599

2022/11/3

Two methods for spoofing-aware speaker verification: Multi-layer perceptron score fusion model and integrated embedding projector

2022/6/28

Jungwoo Heo
Jungwoo Heo

H-Index: 13

Ju-Ho Kim
Ju-Ho Kim

H-Index: 3

Extended U-Net for Speaker Verification in Noisy Environments

2022/6/27

Attentive max feature map and joint training for acoustic scene classification

2022/5/23

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

2022/5/23

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

The Journal of the Acoustical Society of Korea

2022

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

Applied Sciences

2021/12/22

Attentive max feature map for acoustic scene classification with joint learning considering the abstraction of classes

2021/10

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

2021/6/6

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

The Journal of the Acoustical Society of Korea

2021

Audio tagging and deep architectures for acoustic scene classification: Uos submission for the DCASE 2020 challenge

2020

Integrated replay spoofing-aware text-independent speaker verification

Applied Sciences

2020/9

Capturing scattered discriminative information using a deep architecture in acoustic scene classification

Applied Sciences

2021

Ju-Ho Kim
Ju-Ho Kim

H-Index: 3

Ha-Jin Yu
Ha-Jin Yu

H-Index: 10

See List of Professors in Ju-ho Kim University(University of Seoul)

Co-Authors

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