Juhan Nam's Homepage

Juhan Nam

Assistant professor

Music and Audio Computing Lab

Graduate School of Culture Technology , KAIST

Email: juhannam [dot] kaist.ac.kr

Building N25 #3236, 291 Daehak-ro, Yuseong-gu, Daejeon, KAIST, 34141



Research Interests

  • Music Information Retrieval
  • Sound Synthesis
  • Digital Audio Effect
  • Interactive Music Systems
  • Singing Voice

See the details at the MACLab homepage.

Teaching

Projects/Grants

  1. Development of Smart Korean Traditional Music Editing Tool, Korea Creative Content Agency, 2016-2018
  2. Music Data Mining Based On Quantitative Analysis of Singing Voice, National Research Foundation of Korea, 2015-2018

Publications

Journals

  1. Augmenting Environmental Interaction in Audio Feedback Systems
    Seunghun Kim, Graham Wakefield and Juhan Nam
    Applied Sciences, 2016 [pdf]
  2. 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]
  3. 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]
  4. Perceptually Informed Synthesis of Bandlimited Classical Waveforms Using Integrated Polynomial Interpolation
    Vesa Välimäki, Jussi Pekonen, Juhan Nam
    Journal of the Acoustical Society of America (JASA), 2012 [pdf]
  5. 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]
  6. 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]

Conference Proceedings (peer-reviewed full papers)

  1. Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks
    Sangeun Kum, Changheun Oh and Juhan Nam
    Proceedings of International Society for Music Information Retrieval Conference (ISMIR), 2016 [pdf] [website]
  2. Comparison of Tonality Models in Measuring Chord Sequence Similarity
    Saebyul Park, Jeounghoon Kim and Juhan Nam
    Proceedings of International Conference on Music Perception and Cognition (ICMPC), 2016 [pdf]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. Alias-free Virtual Analog Oscillators Using a Feedback Delay Loop
    Juhan Nam, Vesa Välimäki, Jonathan S. Abel, Julius O. Smith
    Proceedings of the 12th Int. Conference on Digital Audio Effects (DAFx), 2009 [pdf]
  16. A Method for Estimating Interaural Time Difference for Binaural Synthesis
    Juhan Nam, Jonathan S. Abel, Julius O. Smith the 125th Audio Engineering Society Convention (AES), 2008 [pdf]
  17. On the Minimum-phase Nature of Head-Related Transfer Functions
    Juhan Nam, Miriam A. Kolar, Jonathan S. Abel
    the 125th Audio Engineering Society Convention (AES), 2008 [pdf]

Abstracts, Demos, Work-In-Progress and Technical Reports

  1. Sonic Participation in the Evolving Audio Feedback System
    Seunghun Kim, Changheun Oh, Graham Wakefield and Juhan Nam
    The 22nd International Symposium on Electronic Art (ISEA), 2016 [pdf] [website]
  2. Characteristics of Non-linguistic Vocalizations as Auditory Emoticons
    Kyoungsoo Chun, Jinah Kwak and Juhan Nam
    Proceedings of International Conference on Music Perception and Cognition (ICMPC), 2016 [pdf]
  3. A Deep Bag-of-Features Model for Music Auto-Tagging
    Juhan Nam, Jorge Herrera, Kyogu Lee
    arXiv preprint arXiv:1508.04999, 2015 [pdf]
  4. 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
    The Society for Music Perception and Cognition (SMPC), 2015
  5. Acoustic Scene Classification Using Sparse Feature Learning and Selective Max-Pooling by Event Detection
    Juhan Nam, Ziwon Hyung and Kyogu Lee
    IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events, 2013 [pdf]

Domestic Journals, Conferences and Symposium

  1. Investigation on Vocal Tags and Singer Similarity of K-pop
    Jongpil Lee, Tae Hyoung Kim, Sangeun Kum, Keunhyoung Luke Kim, Changheun Oh and Juhan Nam
    Proceedings of the Acoustical Society of Korea Spring Conference, 2016
  2. Real-Time Singer Pitch Modification System Using PSOLA
    Tae Hyoung Kim and Juhan Nam
    Proceedings of the Acoustical Society of Korea Spring Conference, 2016
  3. A Study of Sinusoid Generation Using Recursive Algorithms
    Juhan Nam
    Emile, Journal of Korea Electro-Acoustic Music Society, 2005

Thesis

  1. Learning Feature Representations for Music Classification
    Juhan Nam
    Ph.D. thesis, Stanford University, 2012
    [pdf] [website]

Patents

  1. Access Authorization Based on Synthetic Biometric Data and Non-Biometric Data
    US Patent Grant, 9430628, 2016
  2. Systems and Methods to Generate Authorization Data Based on Biometric Data and Non-Biometric Data
    US Patent Application, 20160149904, 20160048670, 2016
  3. Sound Mixture Recognition
    US Patent Grant, 9165565, 2015
  4. Systems and Methods for Speaker Dictionary Based Speech Modeling
    US Patent Application, 20150243284, 2015
  5. Systems and Methods for Evaluating Strength of An Audio Password
    US Patent Application, 20150220715, 2015
  6. Systems and Methods for Enhancing an Audio Signal
    US Patent Application, 20150162014, 2015
  7. Systems and Methods for Noise Characteristic Dependent Speech Enhancement
    US Patent Application, 20140337021, 2014
  8. Systems and Methods for Audio Signal Processing
    US Patent Application, 20130282373, 20130282373, 2013