Using Expressive Trends For Identifying Violin Performers

TitleUsing Expressive Trends For Identifying Violin Performers
Publication TypeConference Paper
Year of Publication2008
Conference NameInternational Conference on Music Information Retrieval
AuthorsMolina-Solana, M., Arcos J. L., & Gómez E.
Conference Start Date14/09/2008
Conference LocationPhiladelphia, USA
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.

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