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Graham C Grindlay
Graham C Grindlay
Columbia University
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Tytuł
Cytowane przez
Cytowane przez
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Haptic guidance benefits musical motor learning
G Grindlay
2008 Symposium on Haptic Interfaces for Virtual Environment and Teleoperator …, 2008
942008
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
892011
Modeling, analyzing, and synthesizing expressive piano performance with graphical models
G Grindlay, D Helmbold
Machine learning 65, 361-387, 2006
542006
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
382010
Multi-voice polyphonic music transcription using eigeninstruments
G Grindlay, DPW Ellis
2009 IEEE Workshop on Applications of Signal Processing to Audio and …, 2009
362009
The impact of haptic guidance on musical motor learning
GC Grindlay
Massachusetts Institute of Technology, 2007
202007
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
112006
Modeling expressive musical performance with Hidden Markov Models
GC Grindlay
University of California, Santa Cruz, 2005
112005
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
52011
Blind Dereverberation of Audio Signals
G Grindlay
E4810 Final Project, University of Columbia, 2008
22008
Transcribing multi-instrument polyphonic music with transformed eigeninstrument whole-note templates
Z Chen, G Grindlay, D Ellis
MIREX, 2012
12012
Modeling expressive musical performance with hmms
G Grindlay, D Helmbold
Musical Information Processing Systems (MIPS 2004). Neural Information …, 2004
12004
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, ...
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