Jaehun Kim

Jaehun Kim

Technische Universiteit Delft

H-index: 10

Europe-Netherlands

About Jaehun Kim

Jaehun Kim, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Machine Learning, Signal Processing, Music Information Retrieval.

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

On the effect of data-augmentation on local embedding properties in the contrastive learning of music audio representations

Similar but faster: manipulation of tempo in music audio embeddings for tempo prediction and search

Tempo estimation as fully self-supervised binary classification

TOWARDS AUTOMATED ESTIMATION OF VALUES FROM SONG LYRICS: A DATA COLLECTION PROTOCOL

Contrastive Learning for Cross-modal Artist Retrieval

The power of deep without going deep? A study of HDPGMM music representation learning.

One deep music representation to rule them all? A comparative analysis of different representation learning strategies

Butter Lyrics Over Hominy Grit: Comparing Audio and Psychology-Based Text Features in MIR Tasks.

Jaehun Kim Information

University

Position

___

Citations(all)

808

Citations(since 2020)

717

Cited By

383

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Jaehun Kim Skills & Research Interests

Machine Learning

Signal Processing

Music Information Retrieval

Top articles of Jaehun Kim

Title

Journal

Author(s)

Publication Date

On the effect of data-augmentation on local embedding properties in the contrastive learning of music audio representations

arXiv preprint arXiv:2401.08889

Matthew C McCallum

Matthew EP Davies

Florian Henkel

Jaehun Kim

Samuel E Sandberg

2024/1/17

Similar but faster: manipulation of tempo in music audio embeddings for tempo prediction and search

arXiv preprint arXiv:2401.08902

Matthew C McCallum

Florian Henkel

Jaehun Kim

Samuel E Sandberg

Matthew EP Davies

2024/1/17

Tempo estimation as fully self-supervised binary classification

arXiv preprint arXiv:2401.08891

Florian Henkel

Jaehun Kim

Matthew C McCallum

Samuel E Sandberg

Matthew EP Davies

2024/1/17

TOWARDS AUTOMATED ESTIMATION OF VALUES FROM SONG LYRICS: A DATA COLLECTION PROTOCOL

Andrew M Demetriou

Jaehun Kim

Sandy Manolios

Cynthia CS Liem

2023/10

Contrastive Learning for Cross-modal Artist Retrieval

arXiv preprint arXiv:2308.06556

Andres Ferraro

Jaehun Kim

Sergio Oramas

Andreas Ehmann

Fabien Gouyon

2023/8/12

The power of deep without going deep? A study of HDPGMM music representation learning.

Jaehun Kim

Cynthia CS Liem

2022/12/4

One deep music representation to rule them all? A comparative analysis of different representation learning strategies

Neural Computing and Applications

Jaehun Kim

Julián Urbano

Cynthia CS Liem

Alan Hanjalic

2020/2

Butter Lyrics Over Hominy Grit: Comparing Audio and Psychology-Based Text Features in MIR Tasks.

Jaehun Kim

Andrew M Demetriou

Sandy Manolios

Maria Stella Tavella

Cynthia CS Liem

2020

Generative autoregressive networks for 3d dancing move synthesis from music

IEEE Robotics and Automation Letters

Hyemin Ahn

Jaehun Kim

Kihyun Kim

Songhwai Oh

2020/3/2

See List of Professors in Jaehun Kim University(Technische Universiteit Delft)

Co-Authors

H-index: 60
Xavier Serra

Xavier Serra

Universidad Pompeu Fabra

H-index: 55
Alan Hanjalic

Alan Hanjalic

Technische Universiteit Delft

H-index: 36
Kyogu Lee

Kyogu Lee

Seoul National University

H-index: 36
Shivam Bhasin

Shivam Bhasin

Nanyang Technological University

H-index: 19
Cynthia C. S. Liem

Cynthia C. S. Liem

Technische Universiteit Delft

H-index: 19
Julián Urbano

Julián Urbano

Technische Universiteit Delft

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