Learning Violinist’s Expressive Trends
Proc. International Workshop on Machine Learning and Music (MML08), Held in conjunction with ICML/COLT/UAI 2008
, pp. 3–4
(2008)
Abstract:
This paper presents a Trend-based model for identifying professional performers in commercial recordings. Trend-based models characterize performers by learning how melodic patterns are played. Reported results using 23 violinists show the high identification rates achieved with our model.
Links:
| DOI: PDF: https://www.doc.ic.ac.uk/ mmolinas/publications/molina-mml08.pdf |
Bibtex:
@inproceedings{Molina2008b,
title = {Learning Violinist's Expressive Trends},
author = {Molina-Solana, Miguel and Arcos, Josep~Lluis and G\'omez, Emilia},
booktitle = {Proc. International Workshop on Machine Learning and Music (MML08), Held in conjunction with ICML/COLT/UAI 2008},
year = {2008},
address = {Helsinki, Finland},
editor = {Ramirez, Rafael and Conklin, Darrell and Anagnostopoulou, Christina},
month = jul,
pages = {3--4},
comment = {https://www.doc.ic.ac.uk/~mmolinas/publications/molina-mml08.pdf},
timestamp = {102},
url = {http://www.dtic.upf.edu/~rramirez/MML08/}
}