V2V: A Second Variation on Query-by-Humming

Abstract

Music information retrieval (MIR) systems tend to fall into two camps: that camp developing cataloging and providing advanced access systems for large collections of music and that camp developing specific query or access mechanisms. By and large, the former camp concentrates its efforts on developing large collections and integrating with existing library systems, while the latter experiments with relatively small collections that are stand alone. We have started to merge these camps by integrating Variations2, which provides access to a digitized portion of Indiana University’s vast music library, with Michigan’s VocalSearch, which provides a query-by-humming (QBH) search engine. The joint system, V2V, demonstrates how QBH can be used in connection with a large number of holdings in a real-world environment