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Youngmoo E. Kim

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affiliation: Drexel University, Department of Electrical and Computer Engineering, Philadelphia, PA, USA
affiliation: MIT Media Lab, Cambridge, MA, USA

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Journal Articles

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2020
[j9]
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David S. Rosen, Yongtaek Oh, Brian Erickson, Fengqing (Zoe) Zhang, Youngmoo E. Kim, John Kounios:
Dual-process contributions to creativity in jazz improvisations: An SPM-EEG study. NeuroImage 213: 116632 (2020)
[j8]
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Richard Vallett, Denisa Qori McDonald, Geneviève Dion, Youngmoo E. Kim, Ali Shokoufandeh:
Toward Accurate Sensing with Knitted Fabric: Applications and Technical Considerations. Proc. ACM Hum. Comput. Interact. 4(EICS): 79:1-79:26 (2020)
2017
[j7]
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Alyssa M. Batula, Jesse Mark, Youngmoo E. Kim, Hasan Ayaz:
Comparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRS. Comput. Intell. Neurosci. 2017: 5491296:1-5491296:12 (2017)
2013
[j6]
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Matthew Prockup, David Grunberg, Alex Hrybyk, Youngmoo E. Kim:
Orchestral Performance Companion: Using Real-Time Audio to Score Alignment. IEEE Multim. 20(2): 52-60 (2013)
2012
[j5]
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Andrew P. McPherson, Youngmoo E. Kim:
The Problem of the Second Performer: Building a Community Around an Augmented Piano. Comput. Music. J. 36(4): 10-27 (2012)
[j4]
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David Grunberg, Alyssa M. Batula, Erik M. Schmidt, Youngmoo E. Kim:
Synthetic Emotions for Humanoids: Perceptual Effects of Size and Number of Robot Platforms. Int. J. Synth. Emot. 3(2): 68-83 (2012)
2010
[j3]
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Lauren Elizabeth Mandilian, Paul J. Diefenbach, Youngmoo E. Kim:
Information Overload: A Collaborative Dance Performance. IEEE Multim. 17(1): 8-13 (2010)
2009
[j2]
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Youngmoo E. Kim, Paul Y. Oh, Odest Chadwicke Jenkins:
The AAAI 2008 Robotics and Creativity Workshop. AI Mag. 30(1): 103-107 (2009)
[j1]
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Youngmoo E. Kim, Travis M. Doll, Raymond Migneco:
Collaborative Online Activities for Acoustics Education and Psychoacoustic Data Collection. IEEE Trans. Learn. Technol. 2(3): 168-173 (2009)

Conference and Workshop Papers

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2023
[c64]
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Andrew Wiggins, Youngmoo E. Kim:
A Differentiable Acoustic Guitar Model for String-Specific Polyphonic Synthesis. WASPAA 2023: 1-5
2021
[c63]
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  - conf/nime/GregorioK21
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Jeff Gregorio, Youngmoo E. Kim:
Evaluation of Timbre-Based Control of a Parametric Synthesizer. NIME 2021
2019
[c62]
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Andrew Wiggins, Youngmoo E. Kim:
Guitar Tablature Estimation with a Convolutional Neural Network. ISMIR 2019: 284-291
[c61]
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Jeff Gregorio, Youngmoo E. Kim:
Augmenting Parametric Synthesis with Learned Timbral Controllers. NIME 2019: 431-436
2017
[c60]
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Jeff Gregorio, Peter English, Youngmoo E. Kim:
Sound and Interaction Design of an Augmented Drum System. Audio Mostly Conference 2017: 2:1-2:4
2016
[c59]
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Alyssa M. Batula, Jesse Mark, Youngmoo E. Kim, Hasan Ayaz:
Developing an Optical Brain-Computer Interface for Humanoid Robot Control. HCI (13) 2016: 3-13
[c58]
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Jeff Gregorio, Youngmoo E. Kim:
Phrase-Level Audio Segmentation of Jazz Improvisations Informed by Symbolic Data. ISMIR 2016: 482-487
2015
[c57]
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Brandon G. Morton, Youngmoo E. Kim:
Acoustic Features for Recognizing Musical Artist Influence. ICMLA 2015: 1117-1122
[c56]
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Matthew Prockup, Andreas F. Ehmann, Fabien Gouyon, Erik M. Schmidt, Òscar Celma, Youngmoo E. Kim:
Modeling Genre with the Music Genome Project: Comparing Human-Labeled Attributes and Audio Features. ISMIR 2015: 31-37
[c55]
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Jeff Gregorio, David S. Rosen, Michael N. Caro, Youngmoo E. Kim:
Descriptors for perception of quality in jazz piano improvisation. NIME 2015: 327-328
[c54]
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Matthew Prockup, Andreas F. Ehmann, Fabien Gouyon, Erik M. Schmidt, Youngmoo E. Kim:
Modeling musical rhythmatscale with the music Genome project. WASPAA 2015: 1-5
2014
[c53]
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Alyssa M. Batula, Hasan Ayaz, Youngmoo E. Kim:
Evaluating a four-class motor-imagery-based optical brain-computer interface. EMBC 2014: 2000-2003
[c52]
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William Hilton, Daniel M. Lofaro, Youngmoo E. Kim:
A lightweight, cross-platform, multiuser robot visualization using the cloud. IROS 2014: 1570-1575
[c51]
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David Grunberg, Youngmoo E. Kim:
Rapidly learning musical beats in the presence of environmental and robot ego noise. IROS 2014: 1914-1919
[c50]
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Matthew Prockup, Jeffrey J. Scott, Youngmoo E. Kim:
Representing Musical Patterns via the Rhythmic Style Histogram Feature. ACM Multimedia 2014: 1057-1060
2013
[c49]
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David S. Rosen, Erik M. Schmidt, Youngmoo E. Kim:
Utilizing music technology as a model for creativity development in K-12 education. Creativity & Cognition 2013: 341-344
[c48]
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Erik M. Schmidt, Youngmoo E. Kim:
Learning Rhythm And Melody Features With Deep Belief Networks. ISMIR 2013: 21-26
[c47]
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Matthew Prockup, Erik M. Schmidt, Jeffrey J. Scott, Youngmoo E. Kim:
Toward Understanding Expressive Percussion Through Content Based Analysis. ISMIR 2013: 143-148
[c46]
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Jeffrey J. Scott, Youngmoo E. Kim:
Instrument Identification Informed Multi-Track Mixing. ISMIR 2013: 305-310
[c45]
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Alyssa M. Batula, Manu Colacot, David Grunberg, Youngmoo E. Kim:
Using Audio and Haptic Feedback to Improve Pitched Percussive Instrument Performance in Humanoids. NIME 2013: 295-300
[c44]
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Jeffrey J. Scott, Mickey Moorhead, Justin Chapman, Ryan Schwabe, Youngmoo E. Kim:
Personalized Song Interaction Using a Multi Touch Interface. NIME 2013: 417-420
2012
[c43]
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  - conf/cmmr/SchmidtPSDMK12
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Erik M. Schmidt, Matthew Prockup, Jeffrey J. Scott, Brian Dolhansky, Brandon G. Morton, Youngmoo E. Kim:
Analyzing the Perceptual Salience of Audio Features for Musical Emotion Recognition. CMMR 2012: 278-300
[c42]
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David Grunberg, Alyssa M. Batula, Erik M. Schmidt, Youngmoo E. Kim:
Affective gesturing with music mood recognition. Humanoids 2012: 343-348
[c41]
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Erik M. Schmidt, Jeffrey J. Scott, Youngmoo E. Kim:
Feature Learning in Dynamic Environments: Modeling the Acoustic Structure of Musical Emotion. ISMIR 2012: 325-330
[c40]
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Raymond Migneco, Youngmoo E. Kim:
A Component-Based Approach for Modeling Plucked-Guitar Excitation Signals. NIME 2012
2011
[c39]
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Andrew P. McPherson, Youngmoo E. Kim:
Multidimensional gesture sensing at the piano keyboard. CHI 2011: 2789-2798
[c38]
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Youngmoo E. Kim, David Grunberg, Alyssa M. Batula, Daniel M. Lofaro, Jun-Ho Oh, Paul Y. Oh:
Enabling humanoid musical interaction and performance. CTS 2011: 212-215
[c37]
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David Grunberg, Daniel M. Lofaro, Paul Y. Oh, Youngmoo E. Kim:
Robot audition and beat identification in noisy environments. IROS 2011: 2916-2921
[c36]
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Jacquelin A. Speck, Erik M. Schmidt, Brandon G. Morton, Youngmoo E. Kim:
A Comparative Study of Collaborative vs. Traditional Musical Mood Annotation. ISMIR 2011: 549-554
[c35]
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Jeffrey J. Scott, Youngmoo E. Kim:
Analysis of Acoustic Features for Automated Multi-Track Mixing. ISMIR 2011: 621-626
[c34]
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Erik M. Schmidt, Youngmoo E. Kim:
Modeling Musical Emotion Dynamics with Conditional Random Fields. ISMIR 2011: 777-782
[c33]
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Erik M. Schmidt, Youngmoo E. Kim:
Learning emotion-based acoustic features with deep belief networks. WASPAA 2011: 65-68
[c32]
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Raymond Migneco, Youngmoo E. Kim:
Excitation modeling and synthesis for plucked guitar tones. WASPAA 2011: 193-196
[c31]
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Erik M. Schmidt, Raymond Migneco, Jeffrey J. Scott, Youngmoo E. Kim:
Modeling musical instrument tones as dynamic textures. WASPAA 2011: 329-332
2010
[c30]
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Andrew P. McPherson, Youngmoo E. Kim:
Toward a computationally-enhanced acoustic grand piano. CHI Extended Abstracts 2010: 4141-4146
[c29]
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Brandon G. Morton, Jacquelin A. Speck, Erik M. Schmidt, Youngmoo E. Kim:
Improving music emotion labeling using human computation. HCOMP@KDD 2010: 45-48
[c28]
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Alyssa M. Batula, Youngmoo E. Kim:
Development of a mini-humanoid pianist. Humanoids 2010: 192-197
[c27]
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Daniel M. Lofaro, Paul Y. Oh, Jun-Ho Oh, Youngmoo E. Kim:
Interactive musical participation with humanoid robots through the use of novel musical tempo and beat tracking techniques in the absence of auditory cues. Humanoids 2010: 436-441
[c26]
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Garth Griffin, Youngmoo E. Kim, Douglas Turnbull:
Beat-Sync-Mash-Coder: A web application for real-time creation of beat-synchronous music mashups. ICASSP 2010: 437-440
[c25]
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Erik M. Schmidt, Youngmoo E. Kim:
Prediction of Time-Varying Musical Mood Distributions Using Kalman Filtering. ICMLA 2010: 655-660
[c24]
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Alex Hrybyk, Youngmoo E. Kim:
Combined Audio and Video Analysis for Guitar Chord Identification. ISMIR 2010: 159-164
[c23]
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Youngmoo E. Kim, Erik M. Schmidt, Raymond Migneco, Brandon G. Morton, Patrick Richardson, Jeffrey J. Scott, Jacquelin A. Speck, Douglas Turnbull:
State of the Art Report: Music Emotion Recognition: A State of the Art Review. ISMIR 2010: 255-266
[c22]
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Erik M. Schmidt, Youngmoo E. Kim:
Prediction of Time-varying Musical Mood Distributions from Audio. ISMIR 2010: 465-470
[c21]
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Jeffrey J. Scott, Raymond Migneco, Brandon G. Morton, Christian M. Hahn, Paul J. Diefenbach, Youngmoo E. Kim:
An Audio Processing Library for MIR Application Development in Flash. ISMIR 2010: 643-648
[c20]
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Derek Tingle, Youngmoo E. Kim, Douglas Turnbull:
Exploring automatic music annotation with "acoustically-objective" tags. Multimedia Information Retrieval 2010: 55-62
[c19]
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Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim:
Feature selection for content-based, time-varying musical emotion regression. Multimedia Information Retrieval 2010: 267-274
[c18]
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Ashley M. Oudenne, Youngmoo E. Kim, Douglas Turnbull:
Meerkat: exploring semantic music discovery using personalized radio. Multimedia Information Retrieval 2010: 429-432
[c17]
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Andrew P. McPherson, Youngmoo E. Kim:
Augmenting the Acoustic Piano with Electromagnetic String Actuation and Continuous Key Position Sensing. NIME 2010: 217-222
2009
[c16]
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David Grunberg, Robert Ellenberg, Youngmoo E. Kim, Paul Y. Oh:
From RoboNova to HUBO: Platforms for Robot Dance. FIRA 2009: 19-24
[c15]
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Travis M. Doll, Raymond Migneco, Youngmoo E. Kim:
Web-based sound and music games with activities for STEM education. ICE-GIC 2009: 191-200
[c14]
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Raymond Migneco, Travis M. Doll, Jeffrey J. Scott, Christian M. Hahn, Paul J. Diefenbach, Youngmoo E. Kim:
An audio processing library for game development in flash. ICE-GIC 2009: 201-209
[c13]
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Robert Ellenberg, David Grunberg, Paul Y. Oh, Youngmoo E. Kim:
Using miniature humanoids as surrogate research platforms. Humanoids 2009: 175-180
[c12]
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David Grunberg, Robert Ellenberg, Youngmoo E. Kim, Paul Y. Oh:
Creating an autonomous dancing robot. ICHIT 2009: 221-227
[c11]
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Erik M. Schmidt, Kris West, Youngmoo E. Kim:
Efficient Acoustic Feature Extraction for Music Information Retrieval Using Programmable Gate Arrays. ISMIR 2009: 273-278
[c10]
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Travis M. Doll, Raymond Migneco, Jeffrey J. Scott, Youngmoo E. Kim:
An audio DSP Toolkit for rapid application development in Flash. MMSP 2009: 1-6
2008
[c9]
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Youngmoo E. Kim, Erik M. Schmidt, Lloyd Emelle:
MoodSwings: A Collaborative Game for Music Mood Label Collection. ISMIR 2008: 231-236
[c8]
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Travis M. Doll, Raymond Migneco, Youngmoo E. Kim:
Online Activities for Music Information and Acoustics Education and Psychoacoustic Data Collection. ISMIR 2008: 445-450
[c7]
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Lauren Elizabeth Mandilian, Paul J. Diefenbach, Youngmoo E. Kim:
Information overload: a collaborative dance performance. SAME 2008: 57-60
[c6]
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Youngmoo E. Kim, John MacLaren Walsh, Travis M. Doll:
Comparison of a joint iterative method for multiple speaker identification with sequential blind source separation and speaker identification. Odyssey 2008: 8
2007
[c5]
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Yuanqing Lin, Jingdong Chen, Youngmoo E. Kim, Daniel D. Lee:
Blind channel identification for speech dereverberation using l1-norm sparse learning. NIPS 2007: 921-928
2006
[c4]
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Youngmoo E. Kim, Donald S. Williamson, Sridhar Pilli:
Towards Quantifying the "Album Effect" in Artist Identification. ISMIR 2006: 393-394
2002
[c3]
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Youngmoo E. Kim, Brian Whitman:
Singer Identification in Popular Music using Warped Linear Prediction. ISMIR 2002
2001
[c2]
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Adam Lindsay, Youngmoo E. Kim:
Adventures in Standardization, or How We Learned to Stop Worrying and Love MPEG-7. ISMIR 2001
2000
[c1]
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Youngmoo E. Kim, Wei Chai, Ricardo García, Barry Vercoe:
Analysis of a Contour-based Representation for Melody. ISMIR 2000

Parts in Books or Collections

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2013
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Andrew P. McPherson, Youngmoo E. Kim:
Piano Technique as a Case Study in Expressive Gestural Interaction. Music and Human-Computer Interaction 2013: 123-138

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