|Title||Using expressive trends for identifying violin performers|
|Publication Type||Conference Paper|
|Year of Publication||2008|
|Authors||Molina-Solana M, Arcos JLluis, Gómez E|
|Conference Name||International Conference on Music Information Retrieval, ISMIR'08|
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.
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