Juhan Nam

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 109

Top Venues

CoRR

ISMIR

ICASSP

IEEE J. Sel. Top. Signal Process.

Publications

Seungheon Doh, Minhee Lee, Dasaem Jeong, Juhan Nam
Enriching Music Descriptions with A Finetuned-LLM and Metadata for Text-to-Music Retrieval. ICASSP (2024)
Jaekwon Im, Juhan Nam
DIFFRENT: A Diffusion Model for Recording Environment Transfer of Speech. CoRR (2024)
Wootaek Lim, Juhan Nam
Enhancing Spatial Audio Generation with Source Separation and Channel Panning Loss. ICASSP (2024)
Gyubin Lee, Hounsu Kim, Junwon Lee, Juhan Nam
CONMOD: Controllable Neural Frame-based Modulation Effects. CoRR (2024)
Jiyun Park, Sangeon Yong, Taegyun Kwon, Juhan Nam
A Real-Time Lyrics Alignment System Using Chroma And Phonetic Features For Classical Vocal Performance. CoRR (2024)
Haven Kim, Jongmin Jung, Dasaem Jeong, Juhan Nam
K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling. LREC/COLING (2024)
Yoonjin Chung, Junwon Lee, Juhan Nam
T-Foley: A Controllable Waveform-Domain Diffusion Model for Temporal-Event-Guided Foley Sound Synthesis. ICASSP (2024)
Hounsu Kim, Soonbeom Choi, Juhan Nam
Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting. CoRR (2024)
Jaekwon Im, Juhan Nam
DiffRENT: A Diffusion Model for Recording Environment Transfer of Speech. ICASSP (2024)
Yoonjin Chung, Junwon Lee, Juhan Nam
T-FOLEY: A Controllable Waveform-Domain Diffusion Model for Temporal-Event-Guided Foley Sound Synthesis. CoRR (2024)
Taegyun Kwon, Dasaem Jeong, Juhan Nam
Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models. CoRR (2024)
Yeonghyeon Lee, Inmo Yeon, Juhan Nam, Joon Son Chung
VoiceLDM: Text-to-Speech with Environmental Context. ICASSP (2024)
Seungheon Doh, Jongpil Lee, Dasaem Jeong, Juhan Nam
Musical Word Embedding for Music Tagging and Retrieval. CoRR (2024)
Hounsu Kim, Soonbeom Choi, Juhan Nam
Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting. ICASSP (2024)
Jiyun Park, Sangeon Yong, Taegyun Kwon, Juhan Nam
A Real-Time Lyrics Alignment System Using Chroma and Phonetic Features for Classical Vocal Performance. ICASSP (2024)
Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam
Toward Universal Text-To-Music Retrieval. ICASSP (2023)
Ilaria Manco, Benno Weck, Seungheon Doh, Minz Won, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, György Fazekas, Juhan Nam
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. CoRR (2023)
Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam
Textless Speech-to-Music Retrieval Using Emotion Similarity. ICASSP (2023)
Vanessa Tan, Junghyun Nam, Juhan Nam, Junyong Noh
Motion to Dance Music Generation using Latent Diffusion Model. SIGGRAPH Asia Technical Communications (2023)
Hyemi Kim, Jiyun Park, Taegyun Kwon, Dasaem Jeong, Juhan Nam
A Study of Audio Mixing Methods for Piano Transcription in Violin-Piano Ensembles. ICASSP (2023)
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa
PrimaDNN': A Characteristics-aware DNN Customization for Singing Technique Detection. CoRR (2023)
Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam
LP-MusicCaps: LLM-Based Pseudo Music Captioning. CoRR (2023)
Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam
Textless Speech-to-Music Retrieval Using Emotion Similarity. CoRR (2023)
Taejun Kim, Juhan Nam
All-in-One Metrical and Functional Structure Analysis with Neighborhood Attentions on Demixed Audio. WASPAA (2023)
Sangeon Yong, Li Su, Juhan Nam
A Phoneme-Informed Neural Network Model For Note-Level Singing Transcription. ICASSP (2023)
Sangeon Yong, Li Su, Juhan Nam
A Phoneme-Informed Neural Network Model for Note-Level Singing Transcription. CoRR (2023)
Hyemi Kim, Jiyun Park, Taegyun Kwon, Dasaem Jeong, Juhan Nam
A study of audio mixing methods for piano transcription in violin-piano ensembles. CoRR (2023)
Haven Kim, Kento Watanabe, Masataka Goto, Juhan Nam
A Computational Evaluation Framework for Singable Lyric Translation. ISMIR (2023)
Yeonghyeon Lee, Inmo Yeon, Juhan Nam, Joon Son Chung
VoiceLDM: Text-to-Speech with Environmental Context. CoRR (2023)
Haven Kim, Jongmin Jung, Dasaem Jeong, Juhan Nam
K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling. CoRR (2023)
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa
PrimaDNN': A Characteristics-Aware DNN Customization for Singing Technique Detection. EUSIPCO (2023)
Haven Kim, Seungheon Doh, Junwon Lee, Juhan Nam
Music Playlist Title Generation Using Artist Information. CoRR (2023)
Haven Kim, Kento Watanabe, Masataka Goto, Juhan Nam
A Computational Evaluation Framework for Singable Lyric Translation. CoRR (2023)
Seungheon Doh, Keunwoo Choi, Jongpil Lee, Juhan Nam
LP-MusicCaps: LLM-Based Pseudo Music Captioning. ISMIR (2023)
Zhiyao Duan, Peter van Kranenburg, Juhan Nam, Preeti Rao
Editorial for TISMIR Special Collection: Cultural Diversity in MIR Research. Trans. Int. Soc. Music. Inf. Retr. 6 (1) (2023)
Eugene Hwang, Joonhyung Bae, Wonil Kim, Juhan Nam, Jeongmi Lee
Sense of Convergence: Exploring the Artistic Potential of Cross-modal Sensory Transfer in Virtual Reality. ISMAR-Adjunct (2023)
Eunjin Choi, Yoonjin Chung, Seolhee Lee, JongIk Jeon, Taegyun Kwon, Juhan Nam
YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations. CoRR (2022)
Sangeun Kum, Jongpil Lee, Keunhyoung Luke Kim, Taehyoung Kim, Juhan Nam
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music. ICASSP (2022)
Jinwook Kim, Pooseung Koh, Seokjun Kang, Hyunyoung Jang, Jeongmi Lee, Juhan Nam, Young Yim Doh
Seung-ee and Kkaebi: A VR-Mobile Cross Platform Game based on Co-Presence for a Balanced Immersive Experience. CHI PLAY (2022)
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa
Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification. INTERSPEECH (2022)
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa
Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers. CoRR (2022)
Joonhyung Bae, Karam Eum, Haram Kwon, Seolhee Lee, Juhan Nam, Young Yim Doh
Classy Trash Monster: An Educational Game for Teaching Machine Learning to Non-major Students. CHI Extended Abstracts (2022)
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa
Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification. CoRR (2022)
Taesu Kim, Seungheon Doh, Gyunpyo Lee, Hyungseok Jeon, Juhan Nam, Hyeon-Jeong Suk
Hi, KIA: A Speech Emotion Recognition Dataset for Wake-Up Words. CoRR (2022)
Sangeun Kum, Jongpil Lee, Keunhyoung Luke Kim, Taehyoung Kim, Juhan Nam
Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music. CoRR (2022)
Jaekwon Im, Soonbeom Choi, Sangeon Yong, Juhan Nam
Neural Vocoder Feature Estimation for Dry Singing Voice Separation. CoRR (2022)
Eunjin Choi, Yoonjin Chung, Seolhee Lee, JongIk Jeon, Taegyun Kwon, Juhan Nam
YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations. ISMIR (2022)
Haven Kim, Jaeran Choi, Young Yim Doh, Juhan Nam
The Melody of the Mysterious Stones: A VR Mindfulness Game Using Sound Spatialization. CHI Extended Abstracts (2022)
Seungheon Doh, Minz Won, Keunwoo Choi, Juhan Nam
Toward Universal Text-to-Music Retrieval. CoRR (2022)
Meinard Müller, Rachel M. Bittner, Juhan Nam
Deep Learning and Knowledge Integration for Music Audio Analysis (Dagstuhl Seminar 22082). Dagstuhl Reports 12 (2) (2022)
Soonbeom Choi, Juhan Nam
A Melody-Unsupervision Model for Singing Voice Synthesis. ICASSP (2022)
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa
Analysis and detection of singing techniques in repertoires of J-POP solo singers. ISMIR (2022)
Soonbeom Choi, Juhan Nam
A Melody-Unsupervision Model for Singing Voice Synthesis. CoRR (2021)
Kyungyun Lee, Wonil Kim, Juhan Nam
PocketVAE: A Two-step Model for Groove Generation and Control. CoRR (2021)
Taejun Kim, Yi-Hsuan Yang, Juhan Nam
Reverse-Engineering The Transition Regions of Real-World DJ Mixes using Sub-band Analysis with Convex Optimization. NIME (2021)
Keunhyoung Luke Kim, Jongpil Lee, Sangeun Kum, Juhan Nam
Learning a cross-domain embedding space of vocal and mixed audio with a structure-preserving triplet loss. ISMIR (2021)
Hsiao-Tzu Hung, Joann Ching, Seungheon Doh, Nabin Kim, Juhan Nam, Yi-Hsuan Yang
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. CoRR (2021)
Seungheon Doh, Junwon Lee, Juhan Nam
Music Playlist Title Generation: A Machine-Translation Approach. CoRR (2021)
Hsiao-Tzu Hung, Joann Ching, Seungheon Doh, Nabin Kim, Juhan Nam, Yi-Hsuan Yang
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. ISMIR (2021)
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, Yuzuru Hiraga
Investigating Time-Frequency Representations for Audio Feature Extraction in Singing Technique Classification. APSIPA ASC (2021)
Taejun Kim, Minsuk Choi, Evan Sacks, Yi-Hsuan Yang, Juhan Nam
A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment. ISMIR (2020)
Keunhyoung Luke Kim, Jongpil Lee, Sangeun Kum, Chae Lin Park, Juhan Nam
Semantic Tagging of Singing Voices in Popular Music Recordings. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Sangeun Kum, Jing-Hua Lin, Li Su, Juhan Nam
Semi-supervised learning using teacher-student models for vocal melody extraction. ISMIR (2020)
Taejun Kim, Minsuk Choi, Evan Sacks, Yi-Hsuan Yang, Juhan Nam
A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment. CoRR (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Metric Learning vs Classification for Disentangled Music Representation Learning. CoRR (2020)
Doheum Park, Juhan Nam, Juyong Park
Novelty and influence of creative works, and quantifying patterns of advances based on probabilistic references networks. EPJ Data Sci. 9 (1) (2020)
Seungheon Doh, Jongpil Lee, Tae Hong Park, Juhan Nam
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music. CoRR (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Disentangled Multidimensional Metric Learning for Music Similarity. ICASSP (2020)
Sangeun Kum, Jing-Hua Lin, Li Su, Juhan Nam
Semi-supervised learning using teacher-student models for vocal melody extraction. CoRR (2020)
Taegyun Kwon, Dasaem Jeong, Juhan Nam
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model. CoRR (2020)
Taegyun Kwon, Dasaem Jeong, Juhan Nam
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model. ISMIR (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Metric learning vs classification for disentangled music representation learning. ISMIR (2020)
Soonbeom Choi, Wonil Kim, Saebyul Park, Sangeon Yong, Juhan Nam
Korean Singing Voice Synthesis Based on Auto-Regressive Boundary Equilibrium Gan. ICASSP (2020)
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
Disentangled Multidimensional Metric Learning for Music Similarity. CoRR (2020)
Saebyul Park, Taegyun Kwon, Jongpil Lee, Jeounghoon Kim, Juhan Nam
A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity. ISMIR (2019)
Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Kyogu Lee, Juhan Nam
VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance. ISMIR (2019)
Doheum Park, Juhan Nam, Juyong Park
Quantifying Novelty and Influence, and the Patterns of Paradigm Shifts. CoRR (2019)
Taejun Kim, Juhan Nam
Temporal Feedback Convolutional Recurrent Neural Networks for Keyword Spotting. CoRR (2019)
Kyungyun Lee, Juhan Nam
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice. ISMIR (2019)
Hendrik Purwins, Bob L. Sturm, Bo Li, Juhan Nam, Abeer Alwan
Introduction to the Issue on Data Science: Machine Learning for Audio Signal Processing. IEEE J. Sel. Top. Signal Process. 13 (2) (2019)
Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam
Zero-shot Learning for Audio-based Music Classification and Tagging. ISMIR (2019)
Taejun Kim, Jongpil Lee, Juhan Nam
Comparison and Analysis of SampleCNN Architectures for Audio Classification. IEEE J. Sel. Top. Signal Process. 13 (2) (2019)
Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging. CoRR (2019)
Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Juhan Nam
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance. ICML (2019)
Jongpil Lee, Jiyoung Park, Juhan Nam
Representation Learning of Music Using Artist, Album, and Track Information. CoRR (2019)
Juhan Nam, Keunwoo Choi, Jongpil Lee, Szu-Yu Chou, Yi-Hsuan Yang
Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach. IEEE Signal Process. Mag. 36 (1) (2019)
Kyungyun Lee, Juhan Nam
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice. CoRR (2019)
Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam
Zero-shot Learning for Audio-based Music Classification and Tagging. CoRR (2019)
Dasaem Jeong, Taegyun Kwon, Juhan Nam
A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings. ISMIR (2018)
Kyungyun Lee, Keunwoo Choi, Juhan Nam
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook. CoRR (2018)
Jongpil Lee, Kyungyun Lee, Jiyoung Park, Jangyeon Park, Juhan Nam
Deep Content-User Embedding Model for Music Recommendation. CoRR (2018)
Sangeon Yong, Juhan Nam
Singing Expression Transfer from One Voice to Another for a Given Song. ICASSP (2018)
Kyungyun Lee, Keunwoo Choi, Juhan Nam
Revisiting Singing Voice Detection: A quantitative review and the future outlook. ISMIR (2018)
Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum, Juhan Nam
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition. CoRR (2018)
Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam
Representation Learning of Music Using Artist Labels. ISMIR (2018)
Taejun Kim, Jongpil Lee, Juhan Nam
Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms. ICASSP (2018)
Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim, Juhan Nam
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms. CoRR (2017)
Dasaem Jeong, Juhan Nam
Note Intensity Estimation of Piano Recordings by Score-Informed NMF. Semantic Audio (2017)
Jongpil Lee, Juhan Nam
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification. CoRR (2017)
Taejun Kim, Jongpil Lee, Juhan Nam
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Juhan Nam