Identifying Violin Performers by their Expressive Trends

Published in Intelligent Data Analysis. Vol 14(5), pp 555-571, 2010

Recommended citation: Molina-Solana, M., Arcos, J.L. & Gómez, E. (2010), "Identifying Violin Performers by their Expressive Trends", Intelligent Data Analysis Vol. 14(5), pp. 555-571. http://doi.org/10.3233/IDA-2010-0439

Download paper here

Recommended citation: Molina-Solana, M., Arcos, J.L. & Gómez, E. (2010), "Identifying Violin Performers by their Expressive Trends", Intelligent Data Analysis Vol. 14(5), pp. 555-571.

Abstract: Understanding the way performers use expressive resources of a given instrument to communicate with the audience is a challenging problem in the sound and music computing field. Working directly with commercial recordings is a good opportunity for tackling this implicit knowledge and studying well-known performers. The huge amount of information to be analyzed suggests the use of automatic techniques, which have to deal with imprecise analysis and manage the information in a broader perspective. This work presents a new approach, Trend-based modeling, for identifying professional performers in commercial recordings. Concretely, starting from automatically extracted descriptors provided by state-of-the-art tools, our approach performs a qualitative analysis of the detected trends for a given set of melodic patterns. The feasibility of our approach is shown for a dataset of monophonic violin recordings from 23 well-known performers.

BibTeX: @article{Molina-Solana2010a, author = {Miguel Molina-Solana and Josep Lluis Arcos and Emilia Gómez}, title = {Identifying Violin Performers by their Expressive Trends}, journal = {Intelligent Data Analysis}, year = {2010}, volume = {14}, number = {5}, pages = {555--571}, doi = {http://doi.org/10.3233/IDA-2010-0439} }