2025

Journals

• Musical Word Embedding for Music Tagging and Retrieval
  SeungHeon Doh, Jongpil Lee, Dasaem Jeong, and Juhan Nam
  IEEE/ACM Transactions on Audio, Speech and Language Processing [paper]

Conferences and Workshops

• Can Large Language Models Predict Audio Effects Parameters from Natural Language?
  Seungheon Doh, Junghyun Koo , Marco A. Martínez-Ramírez , WeiHsiang Liao, Juhan Nam, and Yuki Mitsufuji
  Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2025 (Accepted)
• PianoVAM: A Multimodal Piano Performance Dataset
  Yonghyun Kim, Junhyung Park, Joonhyung Bae, Kirak Kim, Taegyun Kwon, Alexander Lerch, and Juhan Nam
  Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), 2025 (Accepted)
• A Systematic Evaluation of Real-Time Audio Score Following for Piano Performance
  Jiyun Park, Carlos Eduardo Cancino-Chacón, Suhit Chiruthapudi, and Juhan Nam
  Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), 2025 (Accepted)
• Predicting Flutist Onset Timing in Duet Performance: A Multimodal Analysis of Gesture and Breath Cues
  Jaeran Choi, Taegyun Kwon, and Juhan Nam
  Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), 2025 (Accepted)
• PianoBind: A Multi-modal Joint Embedding Model for Pop-piano Music
  Hayeon Bang, Eunjin Choi, SeungHeon Doh, and Juhan Nam
  Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), 2025 (Accepted)
• On the De-duplication of the Lakh MIDI dataset
  Eunjin Choi, Hyerin Kim, Jiwoo Ryu, Juhan Nam, and Dasaem Jeong
  Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), 2025 (Accepted)
• KAD: No More FAD! An Effective and Efficient Evaluation Metric for Audio Generation
  Yoonjin Chung, Pilsun Eu, Junwon Lee, Keunwoo Choi, Juhan Nam, Ben Sangbae Chon
  Workshop on Machine Learning for Audio, International Conference on Machine Learning (ICML), 2025 [paper]
• CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages
  Shangda Wu, Guo Zhancheng, Ruibin Yuan, Junyan Jiang, SeungHeon Doh, Gus Xia, Juhan Nam, Xiaobing Li, Feng Yu, Maosong Sun
  The Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2025 [paper]
• Dialogue in the Resonance: a Piece for the Piano and the Real-time Automatic Music Transcription
  Hayeon Bang, Taegyun Kwon, and Juhan Nam
  Proceedings of the International Computer Music Conference (ICMC), 2025 (Accepted)
• ARGhost: Envisioning Sonic Heritage Preservation through AR Interactive Sound Design Game
  Jaeran Choi, Jiyun Park, and Juhan Nam
  Proceedings of the International Symposium on Electronic Art (ISEA), 2025 (Accepted)
• Designing VR Music Game for Stress Reduction
  Kirak Kim, Hyojin Kim, Youjin Choi, Juhan Nam, and Jeongmi Lee
  Proceedings of the IEEE VR conference, 2025 [paper]
• Twenty-Five Years of MIR Research: Achievements, Practices, Evaluations, and Future Challenges
  Geoffroy Peeters, Zafar Rafii, Magdalena Fuentes, Zhiyao Duan, Emmanouil Benetos, Juhan Nam, and Yuki Mitsufuji
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025 [paper]
• D3RM: A Discrete Denoising Diffusion Refinement Model for Piano Transcription
  Hounsu Kim, Taegyun Kwon, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025 [paper]
• FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation
  Jaekwon Im and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025 [paper]

2024

Journals

• Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models
  Taegyun Kwon, Dasaem Jeong, and Juhan Nam
  IEEE/ACM Transactions on Audio, Speech and Language Processing [paper]
• Mel2Word: A Text-based Melody Representation for Symbolic Music Analysis
  Saebyul Park, Eunjin Choi, Jeounghoon Kim and Juhan Nam
  Music and Science, 2024 [paper]

Conferences and Workshops

• PIAST: A Multimodal Piano Dataset with Audio, Symbolic and Text
  Hayeon Bang, Eunjin Choi, Megan Finch, Seungheon Doh, Seolhee Lee, Gyeong-Hoon Lee, and Juhan Nam
  Proceedings of the 3nd Workshop on NLP for Music and Spoken Audio (NLP4MuSA), 2024 [paper]
• Quantitative Analysis of Melodic Similarity in Music Copyright Infringement Cases
  Saebyul Park, Halla Kim, Jiye Jung, Juyong Park, Jeounghoon Kim, and Juhan Nam
  Proceedings of the 25th International Society for Music Information Retrieval Conference (ISMIR), 2024 [paper]
• Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Model
  Seungheon Doh, Keunwoo Choi, Daeyong Kwon, Taesoo Kim, and Juhan Nam
  Proceedings of the 25th International Society for Music Information Retrieval Conference (ISMIR), 2024 [paper]
• CONMOD: Controllable Neural Frame-based Modulation Effects
  Gyubin Lee, Hounsu Kim, Junwon Lee and Juhan Nam
  Proceedings of the International Conference on Digital Audio Effects (DAFx), 2024 [paper] [demo]
  *** Best Paper Award ***
• K-pop Lyric Translation: Dataset, Analysis, and Neural Modelling
  Haven Kim, Jongmin Jung, Dasaem Jeong, Juhan Nam
  Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024 [paper][dataset]
• Enriching Music Descriptions with A Finetuned-LLM and Metadata for Text-to-Music Retrieval
  Seungheon Doh, Minhee Lee, Dasaem Jeong, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 [paper] [demo]
• T-Foley: A Controllable Waveform-domain Diffusion Model for Temporal-event-guided Foley Sound Synthesis
  Yoonjin Chung, Junwon Lee, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 [paper] [demo]
• Enhancing Spatial Audio Generation with Source Separation and Channel Panning Loss
  Wootaek Lim and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 [paper]
• DIFFRENT: A Diffusion Model for Recording Environment Transfer of Speech
  Jaekwon Im and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 [paper] [demo]
• A Real-time Lyrics Alignment System Using Chroma and Phonetic Features For Classical Vocal Performance
  Jiyun Park, Sangeon Yong, Taegyun Kwon, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 [paper] [demo]
• Expressive Acoustic Guitar Sound Synthesis With an Instrument-specific Input Representation and Diffusion Outpainting
  Hounsu Kim, Soonbeom Choi, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 [paper] [demo]
• VoiceLDM: Text-to-speech with Environmental Context
  Yeonghyeon Lee, Inmo Yeon, Juhan Nam, and Joon Son Chung
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 [paper] [demo]

Abstracts and Late-Breaking/Demos

• Real-time Flutist Gesture Cue Detection System for Auto-Accompaniment
  Jaeran Choi, Taegyun Kwon, Joonhyung Bae, Jiyun Park, Yonghyun Kim, Juhan Nam
  Late Breaking Demo in the 25th International Society for Music Information Retrieval Conference (ISMIR), 2024 [paper]
• Matchmaker: A Python library for Real-time Music Alignment
  Jiyun Park, Carlos Cancino-Chacón, Taegyun Kwon, Juhan Nam
  Late Breaking Demo in the 25th International Society for Music Information Retrieval Conference (ISMIR), 2024 [paper]
• Pitch-ControlNet: Continuous Pitch Control for Monophonic Instrument Sound Generation
  Dabin Kim, Junwon Lee, Minseo Kim, Juhan Nam
  Late Breaking Demo in the 25th International Society for Music Information Retrieval Conference (ISMIR), 2024 [paper]
• Quantitative Analysis of Octave Performance: A Comparative Study Between Professional Pianists and Amateurs
  Hyeyoon Cho and Juhan Nam
  SEMPRE MET 2024 [abstract]

Domestic

• 자동연주 피아노를 활용한 AI 공연 기술 | AI Performance Technology and Examples Using Self-Playing Piano
  이세인, 최재란, 박지윤, 권태균, 남주한 | Sein Lee, Jaeran Choi, Jiyun Park, Taegyun Kwon, Juhan Nam
  공연예술문화연구 | Korean Journal of Research on Performing Arts and Culture, 2024 [paper]

2023

Journals

• Editorial for TISMIR Special Collection: Cultural Diversity in MIR Research (Editorial)
  Zhiyao Duan, Peter van Kranenburg, Juhan Nam, Preeti Rao
  Transactions of the International Society for Music Information Retrieval, 2023 [paper]

Conferences and Workshops

• The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
  Ilaria Manco, Benno Weck, SeungHeon Doh, Minz Won, Yixiao Zhang, Dmitry Bogdanov, Yusong Wu, Ke Chen, Philip Tovstogan, Emmanouil Benetos, Elio Quinton, György Fazekas, and Juhan Nam
  Workshop on Machine Learning for Audio, Neural Information Processing Systems (NeurIPS), 2023 [paper]
• Motion to Dance Music Generation using Latent Diffusion Model
  Vanessa Tan, JungHyun Nam, Juhan Nam, and Junyong Noh
  Proceedings of the SIGGRAPH Asia 2023 Technical Communications, 2023 [paper]
• Teaching Chorale Generation Model to Avoid Parallel Motions
  Eunjin Choi, Hyerin Kim, Juhan Nam, and Dasaem Jeong
  Proceedings of the 16th International Symposium on Computer Music Multidisciplinary Research (CMMR), 2023 [paper]
• LP-MusicCaps: LLM-Based Pseudo Music Captioning
  Seungheon Doh, Keunwoo Choi, Jongpil Lee and Juhan Nam
  Proceedings of the 24th International Society for Music Information Retrieval Conference (ISMIR), 2023
  [paper] [code] [Huggingface demo] [dataset]
  *** Best Paper Award Nomination ***
• A Computational Evaluation Framework for Singable Lyric Translation
  Haven Kim, Kento Watanabe, Masataka Goto, and Juhan Nam
  Proceedings of the 24th International Society for Music Information Retrieval Conference (ISMIR), 2023 [paper]
• Sense of Convergence: Exploring the Artistic Potential of Cross-modal Sensory Transfer in Virtual Reality
  Eugene Hwang, Joonhyung Bae, Wonil Kim, Juhan Nam, and Jeongmi Lee
  Proceedings of the 22nd IEEE International Symposium on Mixed and Augmented Reality (ISMAR) Poster, 2023
  [paper]
• All-In-One Metrical And Functional Structure Analysis With Neighborhood Attentions on Demixed Audio
  Taejun Kim and Juhan Nam
  Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2023
  [paper] [code] [interactive demo] [Huggingface demo]
  *** Best Student Paper Award ***
• PrimaDNN':A Characteristics-aware DNN Customization for Singing Technique Detection
  Yuya Yamamoto, Juhan Nam, and Hiroko Terasawa
  Proceedings of the 31st European Signal Processing Conference (EUSIPCO), 2023 [paper] [website]
• The Language of Jazz: A Natural Language Processing-based Analysis of the Patterns and Vocabulary of Jazz Solo Improvisation
  Saebyul Park and Juhan Nam
  Proceedings of the 17th International Conference on Music Perception and Cognition (ICMPC), 2023 [paper]
• Textless Speech-to-Music Retrieval Using Emotion Similarity
  Seungheon Doh, Minz Won, Keunwoo Choi, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 [paper] [website] [code]
• Toward Universal Text-to-Music Retrieval
  Seungheon Doh, Minz Won, Keunwoo Choi, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 [paper] [website] [dataset]
• A Study of Audio Mixing Methods for Piano Transcription in Violin-Piano Ensembles
  Hyemi Kim, Jiyun Park, Taegyun Kwon, Dasaem Jeong, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 [paper]
• A Phoneme-informed Neural Network Model for Note-level Singing Transcription
  Sangeon Yong, Li Su, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 [paper] [website]
• Music Playlist Title Generation Using Artist Information
  Haven Kim, Seungheon Doh, Junwon Lee, Juhan Nam
  AAAI-23 Workshop on Creative AI Across Modalities, 2023 [paper]

Abstracts and Late-Breaking/Demos

• Bridging Audio and Symbolic Piano Data through a Web-Based Annotation Interface
  Seolhee Lee, Eunjin Choi, Joonhyung Bae, Hyerin Kim, Eita Nakamura, Dasaem Jeong, and Juhan Nam
  Late Breaking Demo in the 24th International Society for Music Information Retrieval Conference (ISMIR), 2023 [paper][video]
• DJ StructFreak: automatic DJ system built with Music Structure Embeddings
  Taejun Kim and Juhan Nam
  Late Breaking Demo in the 24th International Society for Music Information Retrieval Conference (ISMIR), 2023 [paper][video]
• A Comparison of Melody Interpolation Performed by Human and Artificial Intelligence Based on Human Similarity Judgments
  Hyunjae Kim, Eunji Oh, Jieun Park, Yoonjin Chung, Juhan Nam and Kyung Myun Lee
  Proceedings of the 17th International Conference on Music Perception and Cognition (ICMPC), 2023 [paper]
• Automated Gap-filling Algorithm for Kinetic Data of Finger Movement: Pianist Hand Motion Cleaning Using Spatio-temporal Imputation
  Taegyun Kwon, Dawon Park, Joonhyung Bae, Jonghwa Park, Jaebum Park, and Juhan Nam
  Proceedings of the 29th Congress of International Society of Biomechanics, 2023 [paper]
• Multivariate Kinematic Analysis of Piano Performance: a Case Study of a Professional Pianist
  Dawon Park, Taegyun Kwon, Joonhyung Bae, Jonghwa Park, Juhan Nam, and Jaebum Park
  Proceedings of the 29th Congress of International Society of Biomechanics, 2023 [paper]

Domestic

• 음악 공연을 위한 착용형 증강현실 실시간 음악 추적 시스템 | Real-Time Music Tracking System in Wearable AR Display for Music Performance
  박지윤, 송하일, 이승민, 남주한, 우운택 | Jiyun Park, Hail Song, Seungmin Lee, Juhan Nam, Woontack Woo
  한국HCI학회 학술대회 | Proceedings of the HCI Korea, 2023 [paper]
• ARGhost: 증강현실 기반 인터랙티브 소리 합성 게임 | ARGhost: AR Interactive Sound Synthesizer Game
  최재란, 박지윤, 남주한 | Jaeran Choi, Jiyun Park and Juhan Nam
  한국HCI학회 학술대회 | Proceedings of the HCI Korea, 2023 (Creative Awards Track) [paper]
• 커팅킴: VR 보이스 인터랙션 게임 | Cutting Kim: VR Voice Interaction Game
  배준형, 최은진, 남주한 | Joonhyung Bae, Eunjin Choi, and Juhan Nam
  한국HCI학회 학술대회 | Proceedings of the HCI Korea, 2023 (Creative Awards Track) [paper]

2022

Conferences and Workshops

• YM2413-MDB : A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations
  Eunjin Choi, Yoonjin Chung, Seolhee Lee, Jong Ik Jeon, Taegyun Kwon, and Juhan Nam
  Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR), 2022 [paper] [website]
• Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers
  Yuya Yamamoto, Juhan Nam, and Hiroko Terasawa
  Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR), 2022 [paper]
• Neural Vocoder Feature Estimation for Dry Singing Voice Separation
  Jaekwon Im, Soonbeom Choi, Sangeon Yong, and Juhan Nam
  Proceedings of the 14th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2022 [paper]
• Temporal Feedback Convolutional Recurrent Neural Networks for Speech Command Recognition
  Taejun Kim, Juhan Nam
  Proceedings of the 14th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2022 [paper]
• Hi, KIA: A Speech Emotion Recognition Dataset for Wake-Up Words
  Taesu Kim, SeungHeon Doh, Gyunpyo Lee, Hyung seok Jun, Juhan Nam, and Hyeon-Jeong Suk
  Proceedings of the 14th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2022 [paper]
• Seung-ee and Kkaebi: A VR-Mobile Cross Platform Game based on Co-Presence for a Balanced Immersive Experience
  Jinwook Kim, Pooseung Koh, Seokjun Kang, Hyunyoung Jang, Juhan Nam, Young Yim Doh, and Jeongmi Lee
  Proceedings of the Annual Symposium on Computer-Human Interaction in Play, Extended Abstract (Student Game Competition), 2022 [paper] [video]
  *** Audience Choice Award ***
• Joint Estimation of Fader and Equalizer Gains of DJ Mixers using Convex Optimization
  Taejun Kim, Yi-Hsuan Yang, and Juhan Nam
  Proceedings of the International Conference on Digital Audio Effects (DAFx), 2022 [paper]
• Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification
  Yuya Yamamoto, Juhan Nam, and Hiroko Terasawa
  Proceedings of the 23rd INTERSPEECH Conference (Interspeech), 2022 [paper]
• The Melody of the Mysterious Stones: A VR Mindfulness Game Using Sound Spatialization
  Haven Kim, Jaeran Choi, Young Yim Doh, and Juhan Nam
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems, Extended Abstract (Student Game Competition), 2022 [pdf] [video]
• Classy Trash Monster: An Educational Game for Teaching Machine Learning to Non-major Students
  Joonhyung Bae, Karam Eum, Haram Kwon, Seolhee Lee, Juhan Nam, and Young Yim Doh
  Proceedings of the ACM CHI Conference on Human Factors in Computing Systems, Extended Abstract (Student Game Competition), 2022 [pdf] [video]
  *** Winner of Student Game Competition in the Category of Transformative and Transgressive Play ***
• Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music
  Sangeun Kum, Jongpil Lee, Keunhyoung Luke Kim, Taehyoung Kim, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 [paper]
• A Melody-Unsupervision Model for Singing Voice Synthesis
  Soonbeom Choi and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 [paper] [website]

2021

Journals

• Quantitative Analysis of Piano Performance Proficiency Focusing on Difference Between Hands
  Sarah Kim, Jeong Mi Park, Seungyeon Rhyu, Juhan Nam, Kyogu Lee
  PLOS ONE, 2021 [paper]
• Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening (Editorial)
  Leonardo Gabrielli, György Fazekas, and Juhan Nam
  Applied Sciences, 2021 [paper]

Conferences and Workshops

• Investigating Time-Frequency Representations for Audio Feature Extraction in Singing Technique Classification
  Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, and Yuzuru Hiraga
  Proceedings of the 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2021 [paper]
• Music Playlist Title Generation: A Machine-Translation Approach
  Seungheon Doh, Junwon Lee, and Juhan Nam
  Proceedings of the 2nd Workshop on NLP for Music and Spoken Audio (NLP4MuSA), 2021 [paper] [video]
• Learning a Cross-Domain Embedding Space of Vocal and Mixed audio with a Structure-Preserving Triplet Loss
  Keunhyoung Kim, Jongpil Lee, Sangeun Kum, and Juhan Nam
  Proceedings of the 22nd International Society for Music Information Retrieval Conference (ISMIR), 2021 [paper] [website]
• EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation
  Hsiao-Tzu Hung, Joann Ching, Seungheon Doh, Nabin Kim, Juhan Nam, and Yi-Hsuan Yang
  Proceedings of the 22nd International Society for Music Information Retrieval Conference (ISMIR), 2021 [paper] [dataset]
• Mixed Scape: Development of Framework and Artwork for Auditory Correspondence in Mixed Reality
  Seungsoon Park, Jongpil Lee, Taewan Kim, Tae Hong Park, Joonhyung Bae, and Juhan Nam
  Proceedings of International Computer Music Conference (ICMC), 2021 [paper] [artwork]
• Reverse-Engineering The Transition Regions of Real-World DJ Mixes using Sub-band Analysis with Convex Optimization
  Taejun Kim, Yi-Hsuan Yang, and Juhan Nam
  Proceedings of the New Interfaces for Musical Expression (NIME), 2021 [paper] [code] [demo] [video]

Abstracts and Late-Breaking/Demos

• Million Song Search: Web Interface for Semantic Music Search Using Musical Word Embedding
  SeungHeon Doh, Jongpil Lee, and Juhan Nam
  Late Breaking Demo in the 22nd International Society for Music Information Retrieval Conference (ISMIR), 2021 [paper]
• Emotion Classification and Analysis of Expressive Performances in Classical Piano Music
  Yoojin Kim, Jeongmi Park, Dasaem Jeong, Taegyun Kwon, Jonghwa Park, and Juhan Nam
  Proceedings of the 16th International Conference on Music Perception and Cognition (ICMPC16), 2021
• Communication of Emotion Modified by the Performer in Classical Piano Pieces
  Ju-Sung Ham, Youjeong Hong, Jeongmi Park, Jonghwa Park, Juhan Nam, and Kyogu Lee
  Proceedings of the 16th International Conference on Music Perception and Cognition (ICMPC16), 2021
• Correlation Analysis Between Both Hands and Musical Score for Quantitative Evaluation of Piano Performance
  Sarah Kim, Seungyeon Rhyu, Juhan Nam, and Kyogu Lee
  Proceedings of the 16th International Conference on Music Perception and Cognition (ICMPC16), 2021

2020

Journals

• Semantic Tagging of Singing Voices in Popular Music Recordings
  Keunhyoung Luke Kim, Jongpil Lee, Sangeun Kum, Chae Lin Park, and Juhan Nam
  IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020 [paper] [website/dataset]
• Note Intensity Estimation of Piano Recordings Using Coarsely-aligned MIDI Score
  Dasaem Jeong, Taegyun Kwon, and Juhan Nam
  Journal of the Audio Engineering Society, 2020 [paper]
• Novelty and Influence of Creative Works, and Quantifying Patterns of Advances Based On Probabilistic References Networks
  Doheum Park, Juhan Nam, and Juyong Park
  EPJ Data Science, 2020 [paper]

Conferences and Workshops

• TräumerAI: Dreaming Music with StyleGAN
  Dasaem Jeong, Seungheon Doh, and Taegyun Kwon
  Workshop on Machine Learning for Creativity and Design, Neural Information Processing Systems (NeurIPS), 2020 [paper]
• Drum Sample Retrieval from Mixed Audio via a Joint Embedding Space of Mixed and Single Audio Samples
  Wonil Kim and Juhan Nam
  Proceedings of the 149th Audio Engineering Society Convention (AES), 2020 [paper]
• A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment
  Taejun Kim, Minsuk Choi, Evan Sacks, Yi-Hsuan Yang, and Juhan Nam
  Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), 2020 [paper] [code] [poster] [video]
• Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model
  Taegyun Kwon, Dasaem Jeong, and Juhan Nam
  Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), 2020 [paper]
• Metric Learning VS Classification for Disentangled Music Representation Learning
  Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, and Juhan Nam
  Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), 2020 [paper]
• Semi-Supervised Learning Using Teacher-Student Models for Vocal Melody Extraction
  Sangeun Kum, Jing-Hua Lin, Li Su, and Juhan Nam
  Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), 2020 [paper]
• Musical Word Embedding: Bridging the Gap between Listening Contexts and Music
  Seungheon Doh, Jongpil Lee, Tae Hong Park, and Juhan Nam
  Machine Learning for Media Discovery Workshop, International Conference on Machine Learning (ICML), 2020 [paper] [website]
• Disentangled Multidimensional Metric Learning for Music Similarity
  Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 [paper] [dataset]
  *** IEEE SPS Student Travel Grant ***
• Korean Singing Voice Synthesis Based on Auto-Regressive Boundary Equilibrium GAN
  Soonbeom Choi, Wonil Kim, Saebyul Park, Sangeon Yong, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 [paper] [website] [code]

Abstracts and Late-Breaking/Demos

• Children's Song Dataset for Singing Voice Research
  Soonbeom Choi, Wonil Kim, Saebyul Park, Sangeon Yong, and Juhan Nam
  Late Breaking Demo in the 21st International Society for Music Information Retrieval Conference (ISMIR), 2020 [html] [dataset]
• PyTSMod: A Python Implementation of Time-Scale Modification Algorithms
  Sangeon Yong, Soonbeom Choi, and Juhan Nam
  Late Breaking Demo in the 21st International Society for Music Information Retrieval Conference (ISMIR), 2020 [html] [code]

2019

Journals

• Comparison and Analysis of SampleCNN Architectures for Audio Classification
  Taejun Kim, Jongpil Lee, and Juhan Nam
  IEEE Journal of Selected Topics in Signal Processing, 2019 [paper] [code]
• Introduction to the Issue on Data Science: Machine Learning for Audio Signal Processing (Editorial)
  Hendrik Purwins, Bob Sturm, Bo Li, Juhan Nam, and Abeer Alwan
  IEEE Journal of Selected Topics in Signal Processing, 2019 [paper]
• Joint Detection and Classification of Singing Voice Melody Using Convolutional Recurrent Neural Networks
  Sangeun Kum and Juhan Nam
  Applied Sciences, 2019 [paper] [code]

Conferences and Workshops

• A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity
  Saebyul Park, Taegyun Kwon, Jongpil Lee, Jeounghoon Kim, and Juhan Nam
  Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), 2019 [paper] [code]
• VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance
  Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Kyogu Lee and Juhan Nam
  Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), 2019 [paper] [code]
• Zero-shot Learning for Audio-based Music Classification and Tagging
  Jeong Choi, Jongpil Lee, Jiyoung Park, and Juhan Nam
  Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), 2019 [paper] [code]
• Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice
  Kyungyun Lee and Juhan Nam
  Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), 2019 [paper] [website] [code]
• Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging
  Jeong Choi, Jongpil Lee, Jiyoung Park, and Juhan Nam
  Machine Learning for Music Discovery Workshop, the 36th International Conference on Machine Learning (ICML), 2019 [paper]
• Representation Learning of Music Using Artist, Album, and Track information
  Jongpil Lee, Jiyoung Park, and Juhan Nam
  Machine Learning for Music Discovery Workshop, the 36th International Conference on Machine Learning (ICML), 2019 [paper]
• Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance
  Dasaem Jeong, Taegyun Kwon, Yoojin Kim, and Juhan Nam
  Proceedings of the 36th International Conference on Machine Learning (ICML), 2019 [paper]
• Score and Performance Features for Rendering Expressive Music Performances
  Dasaem Jeong, Taegyun Kwon, Yoojin Kim, and Juhan Nam
  Proceedings of the Music Encoding Conference, 2019 [paper]

Abstracts and Late-Breaking/Demos

• SMPD: Symbolic Music Plagiarism Dataset
  Saebyul Park, Halla Kim, Juyong Park, Jeounghoon Kim, and Juhan Nam
  The Seventh Seminar on Cognitively Based Music Informatics Research (CogMIR), 2019
• Sonicanvas : An Audio Reactive Graphics Created Along Frequency Band
  Taewan Kim and Juhan Nam
  Proceedings of the 25th International symposium on electronic art (ISEA), 2019 (poster) [video]
• Easy Jazz: Web-based Jazz Improvisation System
  Wonil Kim and Juhan Nam
  Proceedings of the 25th International symposium on electronic art (ISEA), 2019 (poster) [website]
• MeloDraw: A System for Melodic Contour Search from Embedded Space Using Line Drawings
  Jeong Choi, Chaelin Park, Halla Kim, Wonil Kim, and Juhan Nam
  Proceedings of the 25th International symposium on electronic art (ISEA), 2019 (poster) [website]

Domestic

• 가창 음원의 음악적 표현 이식 시스템
  용상언, 남주한
  한국 음성 학회, 2019
• Conditional GAN 기반 가창 합성 시스템
  최순범, 남주한
  한국 음성 학회, 2019

2018

Journals

• Deep Learning for Audio-based Music Classification and Tagging
  Juhan Nam, Keunwoo Choi, Jongpil Lee, Szu-Yu Chou, and Yi-Hsuan Yang
  IEEE Signal Processing Magazine, 2018 [paper]
• SampleCNN: End-to-End Deep Convolutional Neural Networks Using Very Small Filters for Music Classification
  Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim, and Juhan Nam
  Applied Sciences, 2018 [paper]

Conferences and Workshops

• VirtuosoNet: A Hierarchical Attention RNN for Generating Expressive Piano Performance from Music Score
  Dasaem Jeong, Taegyun Kwon, and Juhan Nam
  Workshop on Machine Learning for Creativity and Design, Neural Information Processing Systems (NeurIPS), 2018 [paper]
• Use the Force: Incorporating Touch Force Sensors into Mobile Music Interaction
  Edward Jangwon Lee, Sangeon Yong, Soonbeom Choi, Liwei Chan, Roshan Peiris, and Juhan Nam
  Lecture Notes in Computer Science (revised selected papers of CMMR 2017), Vol. 11265, 2018 [paper]
• Representation Learning of Music Using Artist Labels
  Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, and Juhan Nam
  Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018 [paper] [code]
• Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
  Kyungyun Lee, Keunwoo Choi, and Juhan Nam
  Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018 [paper] [code]
• A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings
  Dasaem Jeong, Taegyun Kwon, and Juhan Nam
  Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018 [paper]
• A Hybrid of Deep Audio Feature and i-vector for Artist Recognition
  Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum, and Juhan Nam
  Joint Workshop on Machine Learning for Music, International Conference on Machine Learning (ICML), 2018 [paper]
• Singing Expression Transfer from One Voice to Another for a Given Song
  Sangeon Yong and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 [paper] [demo]
• Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
  Taejun Kim, Jongpil Lee, and Juhan Nam
  Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 [paper] [code]

Abstracts and Late-Breaking/Demos

• NEUROSCAPE: Artificial Soundscape Based on Multimodal Connections of Deep Neural Networks
  Seungsoon Park, Jongpil Lee, and Juhan Nam
  International Computer Music Conference (ICMC), 2018 (installation)

2017

Journals

• Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-Tagging
  Jongpil Lee and Juhan Nam
  IEEE Signal Processing Letters, 2017 [paper]

Conferences and Workshops

• Raw Waveform-based Audio Classification Using Sample-level CNN Architectures
  Jongpil Lee, Taejun Kim, Jiyoung Park, and Juhan Nam
  Machine Learning for Audio Signal Processing Workshop, Neural Information Processing Systems (NIPS), 2017 [paper]
• Combining Multi-Scale Features Using Sample-level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection
  Jongpil Lee, Jiyoung Park, Sangeun Kum, Youngho Jeong, and Juhan Nam
  Proceedings of the 2nd Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), 2017 [paper]
• Use the Force: Incorporating Touch Force Sensors into Mobile Music Interaction
  Edward Jangwon Lee, Sangeon Yong, Soonbeom Choi, Liwei Chan, Roshan Peiris, and Juhan Nam
  Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (CMMR), 2017 [paper] [demo]
• Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
  Jongpil Lee and Juhan Nam
  Machine Learning for Music Discovery Workshop, the 34th International Conference on Machine Learning (ICML), 2017 [paper]
• How the Rhythm Is Actually Performed in the First Movement of the Beethoven’s Seventh Symphony
  Dasaem Jeong and Juhan Nam
  Proceedings of the 10th International Conference of Students of Systematic Musicology (SysMus), 2017 [paper]
• Sample-level Deep Convolutional Neural Networks for Music Auto-Tagging Using Raw Waveforms
  Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim, and Juhan Nam
  Proceedings of the 14th Sound and Music Computing Conference (SMC), 2017 [paper]
• Audio-to-Score Alignment Of Piano Music Using RNN-based Automatic Music Transcription
  Taegyun Kwon, Dasaem Jeong, and Juhan Nam
  Proceedings of the 14th Sound and Music Computing Conference (SMC), 2017 [paper] [demo]
• Note Intensity Estimation of Piano Recordings by Score-informed NMF
  Dasaem Jeong and Juhan Nam
  Proceedings of the Audio Engineering Society Conference on Semantic Audio (AES), 2017 [paper]
• ForceClicks: Enabling Efficient Button Interaction with Single Finger Touch
  Sangeon Yong, Edward Jangwon Lee, Roshan Peiris, Liwei Chan, and Juhan Nam
  Proceedings of the International Conference on Tangible, Embedded and Embodied Interactions (TEI), 2017 (work-in-progress) [paper] [demo]

Abstracts and Late-Breaking/Demos

• Cross-cultural Transfer Learning Using Sample-level Deep Convolutional Neural Networks
  Jongpil Lee, Jiyoung Park, Chanju Kim, Adrian Kim, Jangyeon Park, Jung-Woo Ha, and Juhan Nam
  Music Information Retrieval Evaluation eXchange (MIREX) in the 18th International Society for Musical Information Retrieval Conference (ISMIR), 2017 [paper]
  *** The 1st place in the four K-POP tasks across all algorithms submitted so far ***
• Representation Learning Using Artist labels for Audio Classification Tasks
  Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, and Juhan Nam
  Music Information Retrieval Evaluation eXchange (MIREX) in the 18th International Society for Musical Information Retrieval Conference (ISMIR), 2017 [paper]
  *** The 1st place in the Music Mood Classification task across all algorithms submitted so far ***
• PerformScore: Toward Performance Visualization With the Score on the Web Browser
  Dasaem Jeong, Taegyun Kwon, Chaelin Park, and Juhan Nam
  Late Breaking Demo in the 18th International Society for Musical Information Retrieval Conference (ISMIR), 2017 [paper]
• Music Galaxy Hitchhiter: 3D Web Music Navigation Through Audio Space Trained with Tag and Artist Labels
  Dongwoo Suh, Kyungyun Lee, Jongpil Lee, Jiyoung Park, and Juhan Nam
  Late Breaking Demo in the 18th International Society for Musical Information Retrieval Conference (ISMIR), 2017 [paper]
• Building K-POP Singing Voice Tag Dataset: A Progress Report
  KeunHyoung Luke Kim, Sangeun Kum, Chae Lin Park, Jongpil Lee, Jiyoung Park, and Juhan Nam
  Late Breaking Demo in the 18th International Society for Musical Information Retrieval Conference (ISMIR), 2017 [paper]
• Automatic DJ Mix Generation Using Highlight Detection
  Adrian Kim, Soram Park, Jangyeon Park, Jung-Woo Ha, Taegyun Kwon, and Juhan Nam
  Late Breaking Demo in the 18th International Society for Musical Information Retrieval Conference (ISMIR), 2017 [paper]

Domestic

• 바이브레이션 리사주 도형을 이용한 노래 창법 시각화
  김태형, 남주한
  한국 HCI 학회, 2017

2016

Journals

• Augmenting Environmental Interaction in Audio Feedback Systems
  Seunghun Kim, Graham Wakefield, and Juhan Nam
  Applied Sciences, 2016 [paper]
• Sparse Feature Learning for Instrument Identification: Effects of Sampling and Pooling Methods
  Yoonchang Han, Subin Lee, Juhan Nam, and Kyogu Lee
  Journal of the Acoustical Society of America (JASA), 2016 [paper]

Conferences and Workshops

• Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks
  Sangeun Kum, Changheun Oh, and Juhan Nam
  Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), 2016 [paper] [website]
• Comparison of Tonality Models in Measuring Chord Sequence Similarity
  Saebyul Park, Jeounghoon Kim, and Juhan Nam
  Proceedings of the 14th International Conference on Music Perception and Cognition (ICMPC), 2016 [paper]
• Sonic Participation in the Evolving Audio Feedback System
  Seunghun Kim, Changheun Oh, Graham Wakefield, and Juhan Nam
  Proceedings of The 22nd International Symposium on Electronic Art (ISEA), 2016 [paper] [demo]
• Visualizing Music in its Entirety using Acoustic Features: Music Flowgram
  Dasaem Jeong and Juhan Nam
  Proceedings of the 2nd International Conference on Technologies for Music Notation and Representation (TENOR), 2016 [paper]

Abstracts and Late-Breaking/Demos

• Characteristics of Non-linguistic Vocalizations as Auditory Emoticons
  Kyoungsoo Chun, Jinah Kwak, and Juhan Nam
  Proceedings of the 14th International Conference on Music Perception and Cognition (ICMPC), 2016 [paper]

Domestic

• 멜로디 추출 알고리즘으로 살펴보는 음악정보 검색
  금상은, 남주한
  대한전자공학회, 전자공학회지, 2016
• 한국가요 목소리 태그 검증과 가수 유사도 분석
  이종필, 김태형, 금상은, 김근형, 오창현, 남주한
  한국 음향 학회 춘계 학술 대회, 2016
• PSOLA 기법을 이용한 실시간 가창 음정 보정 시스템
  김태형, 남주한
  한국 음향 학회 춘계 학술 대회, 2016

2015

Conferences and Workshops

• Augmenting Room Acoustics and System Interaction for Intentional Control of Audio Feedback
  Seunghun Kim, Graham Wakefield, and Juhan Nam
  Proceedings of the 41st International Computer Music Conference (ICMC), 2015 [paper]
• SoniControl: Gesture Recognition System for Electric Guitar Using VLF Beacon Signals
  Sangwon Suh, Juhan Nam, and Sung-hee Lee
  Proceedings of the 15th International Conference on New Interfaces for Musical Expression (NIME), 2015 [paper]
• Toward Certain Sonic Properties of an Audio Feedback System by Evolutionary Control of Second-Order Structures
  Seunghun Kim, Juhan Nam, and Graham Wakefield
  Proceedings of the 4th International Conference (and 12th European event) on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART), 2015 [paper] [demo]

Abstracts and Late-Breaking/Demos

• Melodic and Harmonic Similarity for Music Plagiarism: Comparison between computational analysis and perceptual evaluation
  Saebyul Park, Seunghun Kim, Dasaem Jeong, Juhan Nam, and Jeounghoon Kim
  Proceedings of the Society for Music Perception and Cognition (SMPC), 2015

Pre-MACLab

Journals

• Optimized Polynomial Spline Basis Function Design for Quasi-Bandlimited Classical Waveform Synthesis
  Jussi Pekonen, Juhan Nam, Vesa Välimäki, and Julius O. Smith
  IEEE Signal Processing Letters, 2012 [paper]
• Perceptually Informed Synthesis of Bandlimited Classical Waveforms Using Integrated Polynomial Interpolation
  Vesa Välimäki, Jussi Pekonen, and Juhan Nam
  Journal of the Acoustical Society of America (JASA), 2012 [paper]
• Efficient antialiasing oscillator algorithms using low-order fractional delay filters
  Juhan Nam, Vesa Välimäki, Jonathan S. Abel, and Julius O. Smith
  IEEE Transactions on Audio, Speech and Language Processing, 2010 [paper]
• Alias-suppressed oscillators based on differentiated polynomial waveforms
  Vesa Välimäki, Juhan Nam, Jonathan O. Smith, and Jonathan S. Abel
  IEEE Transactions on Audio, Speech and Language Processing, 2010 [paper]

Conferences and Workshops

• Acoustic Scene Classification Using Sparse Feature Learning and Event-based Pooling
  Kyogu Lee, Ziwon Hyung, and Juhan Nam
  Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2013 [paper]
• Learning Sparse Feature Representations for Music Annotation and Retrieval
  Juhan Nam, Jorge Herrera, Malcolm Slaney, and Julius O. Smith
  Proceedings of the 13th International Conference for Music Information Retrieval (ISMIR) Conference, 2012 [paper]
• Sound Recognition in Mixtures
  Juhan Nam, Gautham J. Mysore, and Paris Smaragdis
  Proceedings of the International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), 2012 [paper]
• A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations
  Juhan Nam, Jiquan Ngiam, Honglak Lee, and Malcolm Slaney
  Proceedings of the 12th International Conference for Music Information Retrieval (ISMIR) Conference, 2011 [paper]
• Multimodal Deep Learning
  Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y. Ng
  Proceedings of the 28th International Conference on Machine Learning (ICML), 2011 [paper]
• A super-resolution spectrogram using coupled PLCA
  Juhan Nam, Gautham Mysore, Joachim Ganseman, Kyogu Lee, and Jonathan S. Abel
  Proceedings of the 11th Conference of the International Speech Communication Association (InterSpeech), 2010 [paper]
• On Minimizing the Look-Up Table Size in Quasibandlimited Classical Waveform Oscillators
  Jussi Pekonen, Juhan Nam, Julius O. Smith, Jonathan S. Abel, and V. Välimäki
  Proceedings of the 13th Int. Conference on Digital Audio Effects (DAFx), 2010 [paper]
• Variable Fractional Delay Filters in Bandlimited Oscillator Algorithms for Music Synthesis
  Jussi Pekonen, Vesa Välimäki, Juhan Nam, Julius O. Smith, and Jonathan S. Abel
  Proceedings of Int. Conference on Green Circuits and Systems, 2010 (Invited paper) [paper]
• Alias-free virtual analog oscillators using a feedback delay loop
  Juhan Nam, Vesa Välimäki, Jonathan S. Abel, and Julius O. Smith
  Proceedings of the 12th Int. Conference on Digital Audio Effects (DAFx), 2009 [paper]
• A Method for Estimating Interaural Time Difference for Binaural Synthesis
  Juhan Nam, Jonathan S. Abel, and Julius O. Smith
  Proceedings of the 125th Audio Engineering Society Convention (AES), 2008 [paper]
• On the Minimum-phase Nature of Head-Related Transfer Functions
  Juhan Nam, Miriam A. Kolar, and Jonathan S. Abel
  Proceedings of the 125th Audio Engineering Society Convention (AES), 2008 [paper]

Domestic

• A Study of Sinusoid Generation Using Recursive Algorithms
  Juhan Nam
  Journal of Korea Electro-Acoustic Music Society (Emile), 2005