Haptic guidance benefits musical motor learning G Grindlay 2008 Symposium on Haptic Interfaces for Virtual Environment and Teleoperator …, 2008 | 94 | 2008 |
Transcribing multi-instrument polyphonic music with hierarchical eigeninstruments G Grindlay, DPW Ellis IEEE Journal of Selected Topics in Signal Processing 5 (6), 1159-1169, 2011 | 89 | 2011 |
Modeling, analyzing, and synthesizing expressive piano performance with graphical models G Grindlay, D Helmbold Machine learning 65, 361-387, 2006 | 54 | 2006 |
A multilinear (tensor) framework for HRTF analysis and synthesis G Grindlay, MAO Vasilescu 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 47* | 2007 |
A probabilistic subspace model for multi-instrument polyphonic transcription GC Grindlay, DPW Ellis | 38 | 2010 |
Multi-voice polyphonic music transcription using eigeninstruments G Grindlay, DPW Ellis 2009 IEEE Workshop on Applications of Signal Processing to Audio and …, 2009 | 36 | 2009 |
The impact of haptic guidance on musical motor learning GC Grindlay Massachusetts Institute of Technology, 2007 | 20 | 2007 |
High-field (9.4 T) magnetic resonance imaging in squirrel monkey AJ Nelson, CA Cheney, YCI Chen, G Dai, RP Marini, GC Grindlay, ... Development and plasticity in sensory thalamus and cortex, 288-316, 2006 | 11 | 2006 |
Modeling expressive musical performance with Hidden Markov Models GC Grindlay University of California, Santa Cruz, 2005 | 11 | 2005 |
Evaluating music sequence models through missing data T Bertin-Mahieux, G Grindlay, RJ Weiss, DPW Ellis 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 5 | 2011 |
Blind Dereverberation of Audio Signals G Grindlay E4810 Final Project, University of Columbia, 2008 | 2 | 2008 |
Transcribing multi-instrument polyphonic music with transformed eigeninstrument whole-note templates Z Chen, G Grindlay, D Ellis MIREX, 2012 | 1 | 2012 |
Modeling expressive musical performance with hmms G Grindlay, D Helmbold Musical Information Processing Systems (MIPS 2004). Neural Information …, 2004 | 1 | 2004 |
Music, Mind and Emotion T Machover, A Boulanger, N Knouf, G Grindlay | | 2005 |
Graham Charles Grindlay March 2005 D Helmbold UNIVERSITY OF CALIFORNIA SANTA CRUZ, 2005 | | 2005 |
Entropically Constrained Parameter Estimation for Hidden Markov Models G Grindlay | | 2004 |
Fast Training Convergence Using Mixtures of Hidden Markov Models G Grindlay | | 2003 |
CMPS242 Machine Learning Final Project: Classifying Expressive Musical Performance G Grindlay | | 2002 |
ROSA G Grindlay, DPW Ellis | | |
A Musically Motivated Mid-Level Representation for Pitch Estimation and Musical Audio Source Separation........... M Müller, DPW Ellis, A Klapuri, G Richard, S Sagayama, EBS Dixon, J Wu, ... | | |