A super-resolution spectrogram using coupled PLCA. - Juhan Nam; Gautham J. Mysore; Joachim Ganseman; Kyogu Lee; Jonathan S. Abel (INTERSPEECH, 2010)

Efficient Antialiasing Oscillator Algorithms Using Low-Order Fractional Delay Filters. - Juhan Nam; Vesa Välimäki; Jonathan S. Abel; Julius O. Smith III (IEEE Trans. Speech Audio Process., 2010)

Alias-Suppressed Oscillators Based on Differentiated Polynomial Waveforms. - Vesa Välimäki; Juhan Nam; Julius O. Smith III; Jonathan S. Abel (IEEE Trans. Speech Audio Process., 2010)

Multimodal Deep Learning. - Jiquan Ngiam; Aditya Khosla; Mingyu Kim; Juhan Nam; Honglak Lee; Andrew Y. Ng (ICML, 2011)

A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations. - Juhan Nam; Jiquan Ngiam; Honglak Lee; Malcolm Slaney (ISMIR, 2011)

Sound Recognition in Mixtures. - Juhan Nam; Gautham J. Mysore; Paris Smaragdis (LVA/ICA, 2012)

Learning Sparse Feature Representations for Music Annotation and Retrieval. - Juhan Nam; Jorge Herrera; Malcolm Slaney; Julius O. Smith III (ISMIR, 2012)

Optimized Polynomial Spline Basis Function Design for Quasi-Bandlimited Classical Waveform Synthesis. - Jussi Pekonen; Juhan Nam; Julius O. Smith III; Vesa Välimäki (IEEE Signal Process. Lett., 2012)

Acoustic scene classification using sparse feature learning and event-based pooling. - Kyogu Lee; Ziwon Hyung; Juhan Nam (WASPAA, 2013)

Toward Certain Sonic Properties of an Audio Feedback System by Evolutionary Control of Second-Order Structures. - Seunghun Kim; Juhan Nam; Graham Wakefield (EvoMUSART, 2015)

Augmenting Room Acoustics and System Interaction for Intentional Control of Audio Feedback. - Seunghun Kim; Graham Wakefield; Juhan Nam (ICMC, 2015)

Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks. - Sangeun Kum; Changheun Oh; Juhan Nam (ISMIR, 2016)

Use the Force: Incorporating Touch Force Sensors into Mobile Music Interaction. - Edward Jangwon Lee; Sangeon Yong; Soonbeom Choi; Liwei Chan 001; Roshan Lalintha Peiris; Juhan Nam (CMMR, 2017)

Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection. - Jongpil Lee; Jiyoung Park 001; Sangeun Kum; Youngho Jeong; Juhan Nam (DCASE, 2017)

Note Intensity Estimation of Piano Recordings by Score-Informed NMF. - Dasaem Jeong; Juhan Nam (Semantic Audio, 2017)

ForceClicks: Enabling Efficient Button Interaction with Single Finger Touch. - Sangeon Yong; Edward Jangwon Lee; Roshan Lalintha Peiris; Liwei Chan 001; Juhan Nam (TEI, 2017)

Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging. - Jongpil Lee; Juhan Nam (CoRR, 2017)

Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification. - Jongpil Lee; Juhan Nam (CoRR, 2017)

Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms. - Jongpil Lee; Jiyoung Park 001; Keunhyoung Luke Kim; Juhan Nam (CoRR, 2017)

Audio-to-score alignment of piano music using RNN-based automatic music transcription. - Taegyun Kwon; Dasaem Jeong; Juhan Nam (CoRR, 2017)

Raw Waveform-based Audio Classification Using Sample-level CNN Architectures. - Jongpil Lee; Taejun Kim; Jiyoung Park 001; Juhan Nam (CoRR, 2017)

Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging. - Jongpil Lee; Juhan Nam (IEEE Signal Process. Lett., 2017)

Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms. - Taejun Kim; Jongpil Lee; Juhan Nam (ICASSP, 2018)

Singing Expression Transfer from One Voice to Another for a Given Song. - Sangeon Yong; Juhan Nam (ICASSP, 2018)

A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings. - Dasaem Jeong; Taegyun Kwon; Juhan Nam (ISMIR, 2018)

Revisiting Singing Voice Detection: A quantitative review and the future outlook. - Kyungyun Lee; Keunwoo Choi; Juhan Nam (ISMIR, 2018)

Representation Learning of Music Using Artist Labels. - Jiyoung Park 001; Jongpil Lee; Jangyeon Park; Jung-Woo Ha; Juhan Nam (ISMIR, 2018)

Deep Content-User Embedding Model for Music Recommendation. - Jongpil Lee; Kyungyun Lee; Jiyoung Park 001; Jangyeon Park; Juhan Nam (CoRR, 2018)

A Hybrid of Deep Audio Feature and i-vector for Artist Recognition. - Jiyoung Park 001; Donghyun Kim; Jongpil Lee; Sangeun Kum; Juhan Nam (CoRR, 2018)

Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance. - Dasaem Jeong; Taegyun Kwon; Yoojin Kim; Juhan Nam (ICML, 2019)

Zero-shot Learning for Audio-based Music Classification and Tagging. - Jeong Choi; Jongpil Lee; Jiyoung Park 001; Juhan Nam (ISMIR, 2019)

VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance. - Dasaem Jeong; Taegyun Kwon; Yoojin Kim; Kyogu Lee; Juhan Nam (ISMIR, 2019)

Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice. - Kyungyun Lee; Juhan Nam (ISMIR, 2019)

A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity. - Saebyul Park; Taegyun Kwon; Jongpil Lee; Jeounghoon Kim; Juhan Nam (ISMIR, 2019)

Quantifying Novelty and Influence, and the Patterns of Paradigm Shifts. - Doheum Park; Juhan Nam; Juyong Park (CoRR, 2019)

Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging. - Jeong Choi; Jongpil Lee; Jiyoung Park 001; Juhan Nam (CoRR, 2019)

Representation Learning of Music Using Artist, Album, and Track Information. - Jongpil Lee; Jiyoung Park 001; Juhan Nam (CoRR, 2019)

Temporal Feedback Convolutional Recurrent Neural Networks for Keyword Spotting. - Taejun Kim; Juhan Nam (CoRR, 2019)

Comparison and Analysis of SampleCNN Architectures for Audio Classification. - Taejun Kim; Jongpil Lee; Juhan Nam (IEEE J. Sel. Top. Signal Process., 2019)

Introduction to the Issue on Data Science: Machine Learning for Audio Signal Processing. - Hendrik Purwins; Bob L. Sturm; Bo Li 028; Juhan Nam; Abeer Alwan (IEEE J. Sel. Top. Signal Process., 2019)

Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach. - Juhan Nam; Keunwoo Choi; Jongpil Lee; Szu-Yu Chou; Yi-Hsuan Yang (IEEE Signal Process. Mag., 2019)

Korean Singing Voice Synthesis Based on Auto-Regressive Boundary Equilibrium Gan. - Soonbeom Choi; Wonil Kim; Saebyul Park; Sangeon Yong; Juhan Nam (ICASSP, 2020)

Disentangled Multidimensional Metric Learning for Music Similarity. - Jongpil Lee; Nicholas J. Bryan; Justin Salamon; Zeyu Jin; Juhan Nam (ICASSP, 2020)

A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment. - Taejun Kim; Minsuk Choi; Evan Sacks; Yi-Hsuan Yang; Juhan Nam (ISMIR, 2020)

Semi-supervised learning using teacher-student models for vocal melody extraction. - Sangeun Kum; Jing-Hua Lin; Li Su 004; Juhan Nam (ISMIR, 2020)

Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model. - Taegyun Kwon; Dasaem Jeong; Juhan Nam (ISMIR, 2020)

Metric learning vs classification for disentangled music representation learning. - Jongpil Lee; Nicholas J. Bryan; Justin Salamon; Zeyu Jin; Juhan Nam (ISMIR, 2020)

Musical Word Embedding: Bridging the Gap between Listening Contexts and Music. - Seungheon Doh; Jongpil Lee; Tae Hong Park; Juhan Nam (CoRR, 2020)

Semi-supervised learning using teacher-student models for vocal melody extraction. - Sangeun Kum; Jing-Hua Lin; Li Su 002; Juhan Nam (CoRR, 2020)

Novelty and influence of creative works, and quantifying patterns of advances based on probabilistic references networks. - Doheum Park; Juhan Nam; Juyong Park (EPJ Data Sci., 2020)

Semantic Tagging of Singing Voices in Popular Music Recordings. - Keunhyoung Luke Kim; Jongpil Lee; Sangeun Kum; Chae Lin Park; Juhan Nam (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Investigating Time-Frequency Representations for Audio Feature Extraction in Singing Technique Classification. - Yuya Yamamoto; Juhan Nam; Hiroko Terasawa; Yuzuru Hiraga (APSIPA ASC, 2021)

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; Yi-Hsuan Yang (ISMIR, 2021)

Learning a cross-domain embedding space of vocal and mixed audio with a structure-preserving triplet loss. - Keunhyoung Luke Kim; Jongpil Lee; Sangeun Kum; Juhan Nam (ISMIR, 2021)

Reverse-Engineering The Transition Regions of Real-World DJ Mixes using Sub-band Analysis with Convex Optimization. - Taejun Kim; Yi-Hsuan Yang; Juhan Nam (NIME, 2021)

PocketVAE: A Two-step Model for Groove Generation and Control. - Kyungyun Lee; Wonil Kim; Juhan Nam (CoRR, 2021)

Music Playlist Title Generation: A Machine-Translation Approach. - Seungheon Doh; Junwon Lee; Juhan Nam (CoRR, 2021)

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; Yi-Hsuan Yang (Zenodo, 2021)

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; Yi-Hsuan Yang (Zenodo, 2021)

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; Yi-Hsuan Yang (Zenodo, 2021)

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; Yi-Hsuan Yang (Zenodo, 2021)

Classy Trash Monster: An Educational Game for Teaching Machine Learning to Non-major Students. - Joonhyung Bae; Karam Eum; Haram Kwon; Seolhee Lee; Juhan Nam; Young Yim Doh (CHI Extended Abstracts, 2022)

The Melody of the Mysterious Stones: A VR Mindfulness Game Using Sound Spatialization. - Haven Kim; Jaeran Choi; Young Yim Doh; Juhan Nam (CHI Extended Abstracts, 2022)

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; Jeongmi Lee; Juhan Nam; Young Yim Doh (CHI PLAY, 2022)

A Melody-Unsupervision Model for Singing Voice Synthesis. - Soonbeom Choi; Juhan Nam (ICASSP, 2022)

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; Juhan Nam (ICASSP, 2022)

Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification. - Yuya Yamamoto; Juhan Nam; Hiroko Terasawa (INTERSPEECH, 2022)

YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations. - Eunjin Choi; Yoonjin Chung; Seolhee Lee; JongIk Jeon; Taegyun Kwon; Juhan Nam (ISMIR, 2022)

Analysis and detection of singing techniques in repertoires of J-POP solo singers. - Yuya Yamamoto; Juhan Nam; Hiroko Terasawa (ISMIR, 2022)

Hi, KIA: A Speech Emotion Recognition Dataset for Wake-Up Words. - Taesu Kim; Seungheon Doh; Gyunpyo Lee; Hyungseok Jeon; Juhan Nam; Hyeon-Jeong Suk (CoRR, 2022)

Neural Vocoder Feature Estimation for Dry Singing Voice Separation. - Jaekwon Im; Soonbeom Choi; Sangeon Yong; Juhan Nam (CoRR, 2022)

Deep Learning and Knowledge Integration for Music Audio Analysis (Dagstuhl Seminar 22082). - Meinard Müller; Rachel M. Bittner; Juhan Nam (Dagstuhl Reports, 2022)

PrimaDNN': A Characteristics-Aware DNN Customization for Singing Technique Detection. - Yuya Yamamoto; Juhan Nam; Hiroko Terasawa (EUSIPCO, 2023)

Textless Speech-to-Music Retrieval Using Emotion Similarity. - Seungheon Doh; Minz Won; Keunwoo Choi; Juhan Nam (ICASSP, 2023)

Toward Universal Text-To-Music Retrieval. - Seungheon Doh; Minz Won; Keunwoo Choi; Juhan Nam (ICASSP, 2023)

A Study of Audio Mixing Methods for Piano Transcription in Violin-Piano Ensembles. - Hyemi Kim; Jiyun Park; Taegyun Kwon; Dasaem Jeong; Juhan Nam (ICASSP, 2023)

A Phoneme-Informed Neural Network Model For Note-Level Singing Transcription. - Sangeon Yong; Li Su; Juhan Nam (ICASSP, 2023)

Sense of Convergence: Exploring the Artistic Potential of Cross-modal Sensory Transfer in Virtual Reality. - Eugene Hwang; Joonhyung Bae; Wonil Kim; Juhan Nam; Jeongmi Lee (ISMAR-Adjunct, 2023)

LP-MusicCaps: LLM-Based Pseudo Music Captioning. - Seungheon Doh; Keunwoo Choi; Jongpil Lee; Juhan Nam (ISMIR, 2023)

A Computational Evaluation Framework for Singable Lyric Translation. - Haven Kim; Kento Watanabe; Masataka Goto; Juhan Nam (ISMIR, 2023)

Motion to Dance Music Generation using Latent Diffusion Model. - Vanessa Tan; Junghyun Nam; Juhan Nam; Junyong Noh (SIGGRAPH Asia Technical Communications, 2023)

All-in-One Metrical and Functional Structure Analysis with Neighborhood Attentions on Demixed Audio. - Taejun Kim; Juhan Nam (WASPAA, 2023)

Music Playlist Title Generation Using Artist Information. - Haven Kim; Seungheon Doh; Junwon Lee; Juhan Nam (CoRR, 2023)

A Phoneme-Informed Neural Network Model for Note-Level Singing Transcription. - Sangeon Yong; Li Su 002; Juhan Nam (CoRR, 2023)

The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. - Ilaria Manco; Benno Weck; Seungheon Doh; Minz Won; Yixiao Zhang 002; Dmitry Bogdanov; Yusong Wu; Ke Chen 021; Philip Tovstogan; Emmanouil Benetos; Elio Quinton; György Fazekas; et al. (CoRR, 2023)

Editorial for TISMIR Special Collection: Cultural Diversity in MIR Research. - Zhiyao Duan; Peter van Kranenburg; Juhan Nam; Preeti Rao (Trans. Int. Soc. Music. Inf. Retr., 2023)

K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling. - Haven Kim; Jongmin Jung; Dasaem Jeong; Juhan Nam (LREC/COLING, 2024)

T-Foley: A Controllable Waveform-Domain Diffusion Model for Temporal-Event-Guided Foley Sound Synthesis. - Yoonjin Chung; Junwon Lee; Juhan Nam (ICASSP, 2024)

Enriching Music Descriptions with A Finetuned-LLM and Metadata for Text-to-Music Retrieval. - Seungheon Doh; Minhee Lee; Dasaem Jeong; Juhan Nam (ICASSP, 2024)

DiffRENT: A Diffusion Model for Recording Environment Transfer of Speech. - Jaekwon Im; Juhan Nam (ICASSP, 2024)

Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting. - Hounsu Kim; Soonbeom Choi; Juhan Nam (ICASSP, 2024)

VoiceLDM: Text-to-Speech with Environmental Context. - Yeonghyeon Lee; Inmo Yeon; Juhan Nam; Joon Son Chung (ICASSP, 2024)

Enhancing Spatial Audio Generation with Source Separation and Channel Panning Loss. - Wootaek Lim; Juhan Nam (ICASSP, 2024)

A Real-Time Lyrics Alignment System Using Chroma and Phonetic Features for Classical Vocal Performance. - Jiyun Park; Sangeon Yong; Taegyun Kwon; Juhan Nam (ICASSP, 2024)

Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models. - Seungheon Doh; Keunwoo Choi; Daeyong Kwon; Taesoo Kim; Juhan Nam (ISMIR, 2024)

Quantitative Analysis of Melodic Similarity in Music Copyright Infringement Cases. - Saebyul Park; Halla Kim; Jiye Jung; Juyong Park; Jeounghoon Kim; Juhan Nam (ISMIR, 2024)

Musical Word Embedding for Music Tagging and Retrieval. - Seungheon Doh; Jongpil Lee; Dasaem Jeong; Juhan Nam (CoRR, 2024)

CONMOD: Controllable Neural Frame-based Modulation Effects. - Gyubin Lee; Hounsu Kim; Junwon Lee; Juhan Nam (CoRR, 2024)

Video-Foley: Two-Stage Video-To-Sound Generation via Temporal Event Condition For Foley Sound. - Junwon Lee; Jaekwon Im; Dabin Kim; Juhan Nam (CoRR, 2024)

PIAST: A Multimodal Piano Dataset with Audio, Symbolic and Text. - Hayeon Bang; Eunjin Choi; Megan Finch; Seungheon Doh; Seolhee Lee; Gyeong-Hoon Lee; Juhan Nam (CoRR, 2024)

Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models. - Seungheon Doh; Keunwoo Choi; Daeyong Kwon; Taesu Kim; Juhan Nam (CoRR, 2024)

Predicting User Intents and Musical Attributes from Music Discovery Conversations. - Daeyong Kwon; Seungheon Doh; Juhan Nam (CoRR, 2024)

Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models. - Taegyun Kwon; Dasaem Jeong; Juhan Nam (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages. - Shangda Wu; Zhancheng Guo; Ruibin Yuan; Junyan Jiang; Seungheon Doh; Gus Xia; Juhan Nam; Xiaobing Li; Feng Yu; Maosong Sun 001 (ACL (Findings), 2025)

FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation. - Jaekwon Im; Juhan Nam (ICASSP, 2025)

D3RM: A Discrete Denoising Diffusion Refinement Model for Piano Transcription. - Hounsu Kim; Taegyun Kwon; Juhan Nam (ICASSP, 2025)

Twenty-Five Years of MIR Research: Achievements, Practices, Evaluations, and Future Challenges. - Geoffroy Peeters; Zafar Rafii; Magdalena Fuentes; Zhiyao Duan; Emmanouil Benetos; Juhan Nam; Yuki Mitsufuji (ICASSP, 2025)

Designing VR Music Game for Stress Reduction. - Kirak Kim; Hyojin Kim; Youjin Choi; Juhan Nam; Jeongmi Lee (VR, 2025)

TALKPLAY: Multimodal Music Recommendation with Large Language Models. - Seungheon Doh; Keunwoo Choi; Juhan Nam (CoRR, 2025)

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 (CoRR, 2025)

Dialogue in Resonance: An Interactive Music Piece for Piano and Real-Time Automatic Transcription System. - Hayeon Bang; Taegyun Kwon; Juhan Nam (CoRR, 2025)

Can Large Language Models Predict Audio Effects Parameters from Natural Language? - Seungheon Doh; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Juhan Nam; Yuki Mitsufuji (CoRR, 2025)

MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation. - Daeyong Kwon; Seungheon Doh; Juhan Nam (CoRR, 2025)

Motive-level Analysis of Form-functions Association in Korean Folk song. - Danbinaerin Han; Dasaem Jeong; Juhan Nam (CoRR, 2025)