Jaehun Kim

According to our database, Jaehun Kim authored at least 37 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SPADE: Structured Pruning and Adaptive Distillation for Efficient LLM-TTS.

Tan Dat Nguyen, Jaehun Kim, Ji-Hoon Kim, Shukjae Choi, Youshin Lim, Joon Son Chung

CoRR, September, 2025

Dub-S2ST: Textless Speech-to-Speech Translation for Seamless Dubbing.

Jeongsoo Choi, Jaehun Kim, Joon Son Chung

CoRR, May, 2025

Still Making Noise: Improving Deep- Learning-Based Side- Channel Analysis.

Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic

IEEE Des. Test, February, 2025

AdaptVC: High Quality Voice Conversion with Adaptive Learning.

Jaehun Kim, Ji-Hoon Kim, Yeunju Choi, Tan Dat Nguyen, Seongkyu Mun, Joon Son Chung

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

From Faces to Voices: Learning Hierarchical Representations for High-quality Video-to-Speech.

Ji-Hoon Kim, Jeongsoo Choi, Jaehun Kim, Chaeyoung Jung, Joon Son Chung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Towards Estimating Personal Values in Song Lyrics.

Andrew M. Demetriou, Jaehun Kim, Sandy Manolios, Cynthia C. S. Liem

CoRR, 2024

Transcription-Based Lyrics Embeddings: Simple Extraction of Effective Lyrics Embeddings From Audio.

Jaehun Kim, Florian Henkel, Camilo Landau, Samuel E. Sandberg, Andreas F. Ehmann

Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

Towards Automated Personal Value Estimation in Song Lyrics.

Andrew M. Demetriou, Jaehun Kim, Sandy Manolios, Cynthia C. S. Liem

Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

Fregrad: Lightweight and Fast Frequency-Aware Diffusion Vocoder.

Tan Dat Nguyen, Ji-Hoon Kim, Youngjoon Jang, Jaehun Kim, Joon Son Chung

Proceedings of the IEEE International Conference on Acoustics, 2024

Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search.

Matthew C. McCallum, Florian Henkel, Jaehun Kim, Samuel E. Sandberg, Matthew E. P. Davies

Proceedings of the IEEE International Conference on Acoustics, 2024

On The Effect Of Data-Augmentation On Local Embedding Properties In The Contrastive Learning Of Music Audio Representations.

Matthew C. McCallum, Matthew E. P. Davies, Florian Henkel, Jaehun Kim, Samuel E. Sandberg

Proceedings of the IEEE International Conference on Acoustics, 2024

Seeing Through The Conversation: Audio-Visual Speech Separation Based on Diffusion Model.

Suyeon Lee, Chaeyoung Jung, Youngjoon Jang, Jaehun Kim, Joon Son Chung

Proceedings of the IEEE International Conference on Acoustics, 2024

Tempo Estimation as Fully Self-Supervised Binary Classification.

Florian Henkel, Jaehun Kim, Matthew C. McCallum, Samuel E. Sandberg, Matthew E. P. Davies

Proceedings of the IEEE International Conference on Acoustics, 2024

Fast Object Tracking using Jetson-Tricore Hybrid Integration with Look-Ahead Movement Estimator.

Jaehun Kim, Daejin Park

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

Let There Be Sound: Reconstructing High Quality Speech from Silent Videos.

Ji-Hoon Kim, Jaehun Kim, Joon Son Chung

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Contrastive Learning for Cross-Modal Artist Retrieval.

Andres Ferraro, Jaehun Kim, Sergio Oramas, Andreas F. Ehmann, Fabien Gouyon

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

2022

Dynamic tactility by position-encoded spike spectrum.

Taeyeong Kim, Jaehun Kim, Insang You, Joosung Oh, Sung-Phil Kim, Unyong Jeong

Sci. Robotics, 2022

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

Jaehun Kim, Cynthia C. S. Liem

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

AiRS: A Large-Scale Recommender System at NAVER News.

Hongjun Lim, Yeon-Chang Lee, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeon Jeong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You, Sang-Wook Kim

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Increasing trust in complex machine learning systems: studies in the music domain.

Jaehun Kim

SIGIR Forum, 2021

2020

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

Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic

Neural Comput. Appl., 2020

Precise Indoor Localization: Rapidly-Converging 2D Surface Correlation-Based Fingerprinting Technology Using LTE Signal.

Jung Ho Lee, Beomju Shin, Donghyun Shin, Jaehun Kim, Jinwoo Park, Taikjin Lee

IEEE Access, 2020

Object shape recognition using tactile sensor arrays by a spiking neural network with unsupervised learning.

Jaehun Kim, Sung-Phil Kim, Jungjun Kim, Heeseon Hwang, Jaehyun Kim, Doowon Park, Unyong Jeong

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

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 C. S. Liem

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

Are Nearby Neighbors Relatives? Testing Deep Music Embeddings.

Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic

Frontiers Appl. Math. Stat., 2019

Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music.

Hyemin Ahn, Jaehun Kim, Kihyun Kim, Songhwai Oh

CoRR, 2019

Are Nearby Neighbors Relatives?: Diagnosing Deep Music Embedding Spaces.

Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic

CoRR, 2019

Effective Network Compression Using Simulation-Guided Iterative Pruning.

Dae-Woong Jeong, Jaehun Kim, Youngseok Kim, Tae-Ho Kim, Myungsu Chae

CoRR, 2019

Use MU-MIMO at your own risk - Why we don't get Gb/s Wi-Fi.

Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee

Ad Hoc Networks, 2019

Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference.

Jaehun Kim, Andrew M. Demetriou, Sandy Manolios, Cynthia C. S. Liem

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

Dissecting 802.11ac Performance - Why You Should Turn Off MU-MIMO.

Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

2018

On the Performance of Deep Learning for Side-channel Analysis.

Stjepan Picek, Ioannis Petros Samiotis, Annelie Heuser, Jaehun Kim, Shivam Bhasin, Axel Legay

IACR Cryptol. ePrint Arch., 2018

Make Some Noise: Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis.

Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic

IACR Cryptol. ePrint Arch., 2018

Transfer Learning of Artist Group Factors to Musical Genre Classification.

Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

On the Performance of Convolutional Neural Networks for Side-Channel Analysis.

Stjepan Picek, Ioannis Petros Samiotis, Jaehun Kim, Annelie Heuser, Shivam Bhasin, Axel Legay

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2018

Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information.

Jaehun Kim, Minz Won, Cynthia C. S. Liem, Alan Hanjalic

Proceedings of the ACM Recommender Systems Challenge, 2018

2017

Single and Multi Column Neural Networks for Content-based Music Genre Recognition.

Chang Wook Kim, Jaehun Kim, Kwangsub Kim, Minz Won

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017