Miguel Molina-Solana

This paper presents a new approach for identifying professional performers in commercial recordings. We propose a Trend-based model that, analyzing the way Narmour’s Implication- Realization patterns are played, is able to characterize performers. Concretely, starting from automatically extracted descriptors provided by state-of-the-art extraction tools, the system performs a mapping to a set of qualitative behavior shapes and constructs a collection of frequency distributions for each descriptor. Experiments were conducted in a data-set of violin recordings from 23 different performers. Reported results show that our approach is able to achieve high identification rates.

@inproceedings{Molina2008c,
  title = {Using Expressive Trends for Identifying Violin Performers},
  author = {Molina-Solana, Miguel and Arcos, Josep~Lluis and G\'omez, Emilia},
  booktitle = {Proc. 9th International Conference on Music Information Retrieval (ISMIR2008)},
  year = {2008},
  address = {Philadelphia, USA},
  editor = {Bello, Juan~Pablo and Chew, Elaine and Turnbull, Douglas},
  month = sep,
  pages = {495--500},
  comment = {https://www.doc.ic.ac.uk/~mmolinas/publications/molina-ismir08.pdf},
  timestamp = {103},
  url = {http://ismir2008.ismir.net/}
}