Music and Audio Computing Lab | CT

2021

Journals

Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening (Editorial)
Leonardo Gabrielli, György Fazekas, and Juhan Nam
Applied Sciences, 2021 [pdf]

Conferences and Workshops

Emotion Classification and Analysis of Expressive Performances in Classical Piano Music
Yoojin Kim, Jeongmi Park, Dasaem Jeong, Taegyun Kwon, Jonghwa Park, 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 Han, Youjeong Hong, Jeongmi Park, Jonghwa Park, Juhan Nam, 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, Kyogu Lee
Proceedings of the 16th International Conference on Music Perception and Cognition (ICMPC16), 2021

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

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 [pdf] [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 [pdf]
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 [pdf]

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 [pdf]
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 [pdf]
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]
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]
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 [pdf]
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 [pdf]
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 [pdf]
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 [pdf]
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 [pdf] [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 [pdf] [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 [pdf] [website] [code]

2019

Journals

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 [pdf]
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 [pdf] [code]
Joint Detection and Classification of Singing Voice Melody Using Convolutional Recurrent Neural Networks
Sangeun Kum and Juhan Nam
Applied Sciences, 2019 [pdf] [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 [pdf] [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 [pdf] [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 [pdf] [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 [pdf] [website] [code]
SMPD: Symbolic Music Plagiarism Dataset
Saebyul Park, Halla Kim, Juyong Park, Jeounghoon Kim, Juhan Nam
The Seventh Seminar on Cognitively Based Music Informatics Research (CogMIR), 2019
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 [pdf]
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 [pdf]
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 [pdf]
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]
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 [pdf]

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 [pdf]
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 [pdf]

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 [pdf]
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 [pdf]
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 [pdf] [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 [pdf] [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 [pdf]
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)
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 [pdf]
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 [pdf] [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 [pdf] [code]

Preprint

Deep Content-User Embedding Model for Music Recommendation
Jongpil Lee, Kyungyun Lee, Jiyoung Park, Jangyeon Park, and Juhan Nam
arXiv preprint arXiv:1807.06786, 2018 [pdf]

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 [pdf]

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 [pdf]
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 [pdf]
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 [pdf]
*** 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 [pdf]
*** 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 [pdf]
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 [pdf]
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 [pdf]
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 [pdf]
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 [pdf] [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 [pdf]
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 [pdf]
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 [pdf]
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 [pdf] [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 [pdf]
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) [pdf] [demo]

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 [pdf]
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 [pdf]

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 [pdf] [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 [pdf]
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 [pdf]
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 [pdf] [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 [pdf]

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

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
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 [pdf]
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 [pdf]
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 [pdf] [demo]

Preprint

A Deep Bag-of-Features Model for Music Auto-Tagging
Juhan Nam, Jorge Herrera, and Kyogu Lee
arXiv preprint arXiv:1508.04999, 2015 [pdf]

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 [pdf]
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 [pdf]
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 [pdf]
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 [pdf]

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 [pdf]
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 [pdf]
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 [pdf]
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 [pdf]
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 [pdf]
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 [pdf]
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 [pdf]
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) [pdf]
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 [pdf]
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 [pdf]
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 [pdf]

Domestic

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

Patents

Singing Expression Transplantation System
Juhan Nam, Sangeon Yong
US Patent, App. 16326649, 2019
주어진 악보에 대하여 다양한 스타일의 표현력 있는 피아노 연주를 생성하는 방법 및 장치
남주한, 권태균, 정다샘, 김유진 출원 10-2020-0070101, 2020
파형 음원 신호를 분석하는 신경망 모델에 기반한 음원 분류 방법 및 분석 장치
남주한, 이종필, 김태준 출원 10-2019-0130087, 2019
음원의 가수 목소리를 사용자의 음색으로 변환하는 시스템 및 방법
남주한, 용상언, 출원 10-2018-0151531, 2018
심층 인공신경망 기반 자동 악보 채보를 이용한 연주 및 악보 정렬 방법 및 시스템
남주한, 권태균, 정다샘 등록 10-1939001, 2019
가창 표현 이식 시스템
남주한, 용상언, 등록 10-1966587, 2019
가창 표현 이식 시스템
남주한, 용상언, 등록 10-1925217, 2018