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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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2020 – today
- 2023
- [c64]Andrew Wiggins, Youngmoo E. Kim:
A Differentiable Acoustic Guitar Model for String-Specific Polyphonic Synthesis. WASPAA 2023: 1-5 - 2021
- [c63]Jeff Gregorio, Youngmoo E. Kim:
Evaluation of Timbre-Based Control of a Parametric Synthesizer. NIME 2021 - 2020
- [j9]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]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)
2010 – 2019
- 2019
- [c62]Andrew Wiggins, Youngmoo E. Kim:
Guitar Tablature Estimation with a Convolutional Neural Network. ISMIR 2019: 284-291 - [c61]Jeff Gregorio, Youngmoo E. Kim:
Augmenting Parametric Synthesis with Learned Timbral Controllers. NIME 2019: 431-436 - 2017
- [j7]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) - [c60]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]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]Jeff Gregorio, Youngmoo E. Kim:
Phrase-Level Audio Segmentation of Jazz Improvisations Informed by Symbolic Data. ISMIR 2016: 482-487 - 2015
- [c57]Brandon G. Morton, Youngmoo E. Kim:
Acoustic Features for Recognizing Musical Artist Influence. ICMLA 2015: 1117-1122 - [c56]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]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]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]Alyssa M. Batula, Hasan Ayaz, Youngmoo E. Kim:
Evaluating a four-class motor-imagery-based optical brain-computer interface. EMBC 2014: 2000-2003 - [c52]William Hilton, Daniel M. Lofaro, Youngmoo E. Kim:
A lightweight, cross-platform, multiuser robot visualization using the cloud. IROS 2014: 1570-1575 - [c51]David Grunberg, Youngmoo E. Kim:
Rapidly learning musical beats in the presence of environmental and robot ego noise. IROS 2014: 1914-1919 - [c50]Matthew Prockup, Jeffrey J. Scott, Youngmoo E. Kim:
Representing Musical Patterns via the Rhythmic Style Histogram Feature. ACM Multimedia 2014: 1057-1060 - 2013
- [j6]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) - [c49]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]Erik M. Schmidt, Youngmoo E. Kim:
Learning Rhythm And Melody Features With Deep Belief Networks. ISMIR 2013: 21-26 - [c47]Matthew Prockup, Erik M. Schmidt, Jeffrey J. Scott, Youngmoo E. Kim:
Toward Understanding Expressive Percussion Through Content Based Analysis. ISMIR 2013: 143-148 - [c46]Jeffrey J. Scott, Youngmoo E. Kim:
Instrument Identification Informed Multi-Track Mixing. ISMIR 2013: 305-310 - [c45]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]Jeffrey J. Scott, Mickey Moorhead, Justin Chapman, Ryan Schwabe, Youngmoo E. Kim:
Personalized Song Interaction Using a Multi Touch Interface. NIME 2013: 417-420 - [p1]Andrew P. McPherson, Youngmoo E. Kim:
Piano Technique as a Case Study in Expressive Gestural Interaction. Music and Human-Computer Interaction 2013: 123-138 - 2012
- [j5]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]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) - [c43]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]David Grunberg, Alyssa M. Batula, Erik M. Schmidt, Youngmoo E. Kim:
Affective gesturing with music mood recognition. Humanoids 2012: 343-348 - [c41]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]Raymond Migneco, Youngmoo E. Kim:
A Component-Based Approach for Modeling Plucked-Guitar Excitation Signals. NIME 2012 - 2011
- [c39]Andrew P. McPherson, Youngmoo E. Kim:
Multidimensional gesture sensing at the piano keyboard. CHI 2011: 2789-2798 - [c38]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]David Grunberg, Daniel M. Lofaro, Paul Y. Oh, Youngmoo E. Kim:
Robot audition and beat identification in noisy environments. IROS 2011: 2916-2921 - [c36]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]Jeffrey J. Scott, Youngmoo E. Kim:
Analysis of Acoustic Features for Automated Multi-Track Mixing. ISMIR 2011: 621-626 - [c34]Erik M. Schmidt, Youngmoo E. Kim:
Modeling Musical Emotion Dynamics with Conditional Random Fields. ISMIR 2011: 777-782 - [c33]Erik M. Schmidt, Youngmoo E. Kim:
Learning emotion-based acoustic features with deep belief networks. WASPAA 2011: 65-68 - [c32]Raymond Migneco, Youngmoo E. Kim:
Excitation modeling and synthesis for plucked guitar tones. WASPAA 2011: 193-196 - [c31]Erik M. Schmidt, Raymond Migneco, Jeffrey J. Scott, Youngmoo E. Kim:
Modeling musical instrument tones as dynamic textures. WASPAA 2011: 329-332 - 2010
- [j3]Lauren Elizabeth Mandilian, Paul J. Diefenbach, Youngmoo E. Kim:
Information Overload: A Collaborative Dance Performance. IEEE Multim. 17(1): 8-13 (2010) - [c30]Andrew P. McPherson, Youngmoo E. Kim:
Toward a computationally-enhanced acoustic grand piano. CHI Extended Abstracts 2010: 4141-4146 - [c29]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]Alyssa M. Batula, Youngmoo E. Kim:
Development of a mini-humanoid pianist. Humanoids 2010: 192-197 - [c27]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]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]Erik M. Schmidt, Youngmoo E. Kim:
Prediction of Time-Varying Musical Mood Distributions Using Kalman Filtering. ICMLA 2010: 655-660 - [c24]Alex Hrybyk, Youngmoo E. Kim:
Combined Audio and Video Analysis for Guitar Chord Identification. ISMIR 2010: 159-164 - [c23]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]Erik M. Schmidt, Youngmoo E. Kim:
Prediction of Time-varying Musical Mood Distributions from Audio. ISMIR 2010: 465-470 - [c21]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]Derek Tingle, Youngmoo E. Kim, Douglas Turnbull:
Exploring automatic music annotation with "acoustically-objective" tags. Multimedia Information Retrieval 2010: 55-62 - [c19]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]Ashley M. Oudenne, Youngmoo E. Kim, Douglas Turnbull:
Meerkat: exploring semantic music discovery using personalized radio. Multimedia Information Retrieval 2010: 429-432 - [c17]Andrew P. McPherson, Youngmoo E. Kim:
Augmenting the Acoustic Piano with Electromagnetic String Actuation and Continuous Key Position Sensing. NIME 2010: 217-222
2000 – 2009
- 2009
- [j2]Youngmoo E. Kim, Paul Y. Oh, Odest Chadwicke Jenkins:
The AAAI 2008 Robotics and Creativity Workshop. AI Mag. 30(1): 103-107 (2009) - [j1]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) - [c16]David Grunberg, Robert Ellenberg, Youngmoo E. Kim, Paul Y. Oh:
From RoboNova to HUBO: Platforms for Robot Dance. FIRA 2009: 19-24 - [c15]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]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]Robert Ellenberg, David Grunberg, Paul Y. Oh, Youngmoo E. Kim:
Using miniature humanoids as surrogate research platforms. Humanoids 2009: 175-180 - [c12]David Grunberg, Robert Ellenberg, Youngmoo E. Kim, Paul Y. Oh:
Creating an autonomous dancing robot. ICHIT 2009: 221-227 - [c11]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]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]Youngmoo E. Kim, Erik M. Schmidt, Lloyd Emelle:
MoodSwings: A Collaborative Game for Music Mood Label Collection. ISMIR 2008: 231-236 - [c8]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]Lauren Elizabeth Mandilian, Paul J. Diefenbach, Youngmoo E. Kim:
Information overload: a collaborative dance performance. SAME 2008: 57-60 - [c6]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]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]Youngmoo E. Kim, Donald S. Williamson, Sridhar Pilli:
Towards Quantifying the "Album Effect" in Artist Identification. ISMIR 2006: 393-394 - 2002
- [c3]Youngmoo E. Kim, Brian Whitman:
Singer Identification in Popular Music using Warped Linear Prediction. ISMIR 2002 - 2001
- [c2]Adam Lindsay, Youngmoo E. Kim:
Adventures in Standardization, or How We Learned to Stop Worrying and Love MPEG-7. ISMIR 2001 - 2000
- [c1]Youngmoo E. Kim, Wei Chai, Ricardo García, Barry Vercoe:
Analysis of a Contour-based Representation for Melody. ISMIR 2000
Coauthor Index
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