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Modeling musicological information as trigrams in a system for simultaneous chord and local key extraction

Johan Pauwels UGent, Jean-Pierre Martens UGent and Marc Leman UGent (2011) 2011 IEEE International workshop on machine learning for signal processing.
abstract
In this paper, we discuss the introduction of a trigram musicological model in a simultaneous chord and local key extraction system. By enlarging the context of the musicological model, we hoped to achieve a higher accuracy that could justify the associated higher complexity and computational load of the search for the optimal solution. Experiments on multiple data sets have demonstrated that the trigram model has indeed a larger predictive power (a lower perplexity). This raised predictive power resulted in an improvement in the key extraction capabilities, but no improvement in chord extraction when compared to a system with a bigram musicological model.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
music information retrieval, key extraction, chord extraction, music signal processing
in
2011 IEEE International workshop on machine learning for signal processing
pages
6 pages
publisher
IEEE
place of publication
New York, NY, USA
conference name
2011 IEEE International workshop on Machine Learning for Signal Processing (MLSP 2011)
conference location
Beijing, PR China
conference start
2011-09-18
conference end
2011-09-21
Web of Science type
Proceedings Paper
Web of Science id
000298259900057
ISSN
1551-2541
ISBN
9781457716218
DOI
10.1109/MLSP.2011.6064602
project
GOA-1250604
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1945124
handle
http://hdl.handle.net/1854/LU-1945124
date created
2011-11-21 13:24:59
date last changed
2015-06-17 09:52:21
@inproceedings{1945124,
  abstract     = {In this paper, we discuss the introduction of a trigram musicological model in a simultaneous chord and local key extraction system. By enlarging the context of the musicological model, we hoped to achieve a higher accuracy that could justify the associated higher complexity and computational load of the search for the optimal solution. Experiments on multiple data sets have demonstrated that the trigram model has indeed a larger predictive power (a lower perplexity). This raised predictive power resulted in an improvement in the key extraction capabilities, but no improvement in chord extraction when compared to a system with a bigram musicological model.},
  author       = {Pauwels, Johan and Martens, Jean-Pierre and Leman, Marc},
  booktitle    = {2011 IEEE International workshop on machine learning for signal processing},
  isbn         = {9781457716218},
  issn         = {1551-2541},
  keyword      = {music information retrieval,key extraction,chord extraction,music signal processing},
  language     = {eng},
  location     = {Beijing, PR China},
  pages        = {6},
  publisher    = {IEEE},
  title        = {Modeling musicological information as trigrams in a system for simultaneous chord and local key extraction},
  url          = {http://dx.doi.org/10.1109/MLSP.2011.6064602},
  year         = {2011},
}

Chicago
Pauwels, Johan, Jean-Pierre Martens, and Marc Leman. 2011. “Modeling Musicological Information as Trigrams in a System for Simultaneous Chord and Local Key Extraction.” In 2011 IEEE International Workshop on Machine Learning for Signal Processing. New York, NY, USA: IEEE.
APA
Pauwels, J., Martens, J.-P., & Leman, M. (2011). Modeling musicological information as trigrams in a system for simultaneous chord and local key extraction. 2011 IEEE International workshop on machine learning for signal processing. Presented at the 2011 IEEE International workshop on Machine Learning for Signal Processing (MLSP 2011), New York, NY, USA: IEEE.
Vancouver
1.
Pauwels J, Martens J-P, Leman M. Modeling musicological information as trigrams in a system for simultaneous chord and local key extraction. 2011 IEEE International workshop on machine learning for signal processing. New York, NY, USA: IEEE; 2011.
MLA
Pauwels, Johan, Jean-Pierre Martens, and Marc Leman. “Modeling Musicological Information as Trigrams in a System for Simultaneous Chord and Local Key Extraction.” 2011 IEEE International Workshop on Machine Learning for Signal Processing. New York, NY, USA: IEEE, 2011. Print.