John Ashley Burgoyne
John Ashley Burgoyne
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An Expert Ground Truth Set for Audio Chord Recognition and Music Analysis.
JA Burgoyne, J Wild, I Fujinaga
ISMIR 11, 633-638, 2011
Design and creation of a large-scale database of structural annotations.
JBL Smith, JA Burgoyne, I Fujinaga, D De Roure, JS Downie
ISMIR 11, 555-560, 2011
Contrastive learning of musical representations
J Spijkervet, JA Burgoyne
arXiv preprint arXiv:2103.09410, 2021
Evaluating the Genre Classification Performance of Lyrical Features Relative to Audio, Symbolic and Cultural Features.
C McKay, JA Burgoyne, J Hockman, JBL Smith, G Vigliensoni, I Fujinaga
ISMIR, 213-218, 2010
Music information retrieval
JA Burgoyne, I Fujinaga, JS Downie
A new companion to digital humanities, 213-228, 2015
What makes a rhythm complex? The influence of musical training and accent type on beat perception
FL Bouwer, JA Burgoyne, D Odijk, H Honing, JA Grahn
PLoS One 13 (1), e0190322, 2018
Stochastic processes & database-driven musicology
JA Burgoyne
McGill University (Canada), 2012
Annotator subjectivity in harmony annotations of popular music
HV Koops, WB De Haas, JA Burgoyne, J Bransen, A Kent-Muller, A Volk
Journal of New Music Research 48 (3), 232-252, 2019
Hooked: a game for discovering what makes music catchy
JA Burgoyne, D Bountouridis, JMH Van Balen, H Honing
Proceedings of the 14th Society of Music Information Retrieval Conference …, 2013
MAP Adaptation to Improve Optical Music Recognition of Early Music Documents Using Hidden Markov Models.
L Pugin, JA Burgoyne, I Fujinaga
ISMIR, 513-516, 2007
Lyric extraction and recognition on digital images of early music sources
JA Burgoyne, Y Ouyang, T Himmelman, J Devaney, L Pugin, I Fujinaga
Proceedings of the 10th International Society for Music Information …, 2009
Compositional data analysis of harmonic structures in popular music
JA Burgoyne, J Wild, I Fujinaga
Mathematics and Computation in Music: 4th International Conference, MCM 2013 …, 2013
A comparative survey of image binarisation algorithms for optical recognition on degraded musical sources
JA Burgoyne, LX Pugin, G Eustace, I Fujinaga
Austrian Computer Society, 2007
A meta-analysis of timbre perception using nonlinear extensions to CLASCAL
JA Burgoyne, S McAdams
International Symposium on Computer Music Modeling and Retrieval, 181-202, 2007
Gamera versus Aruspix: Two optical music recognition approaches
LX Pugin, J Hockman, JA Burgoyne, I Fujinaga
ISMIR 2008, 2008
An analysis of chorus features in popular song
JMH Van Balen, JA Burgoyne, F Wiering, RC Veltkamp
Proceedings of the 14th Society of Music Information Retrieval Conference …, 2013
Multiband statistical learning for f/sub 0/estimation in speech
F Sha, JA Burgoyne, LK Saul
2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004
Corpus Analysis Tools for Computational Hook Discovery.
J Van Balen, JA Burgoyne, D Bountouridis, D Müllensiefen, R Veltkamp
Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models.
JA Burgoyne, LK Saul
ISMIR, 438-443, 2005
Automatic pitch recognition in printed square-note notation
G Vigliensoni, JA Burgoyne, A Hankinson, I Fujinaga
Proc. ISMIR, Florida, USA, 2011
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