TitleUsing expressive trends for identifying violin performers
Publication TypeConference Paper
Year of Publication2008
AuthorsMolina-Solana M, Arcos JLluis, Gómez E
Editor
Conference NameInternational Conference on Music Information Retrieval, ISMIR'08
Pagination495-500
Abstract

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.