Title | Identifying Violin Performers by their Expressive Trends |
Publication Type | Journal Article |
Year of Publication | 2010 |
Authors | Molina-Solana M, Arcos JLluis, Gómez E |
Journal | Intelligent Data Analysis |
Volume | 14 |
Pagination | 555-571 |
Publisher | IOS Press |
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. |
URL | http://iospress.metapress.com/content/c4216v4t7l0t2576/?p=39c591e54b004b789bc1ed68a145bbad&pi=3 |