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Evaluation of Query-by-Humming Systems using a Random Melody Database

The performance of melody retrieval using a query-by-humming (QBH) system depends on different parameters. For the query, parameters like length of the query and possibly contained errors influence the success of the retrieval. But also the size of the melody database inside the QBH-system has a certain impact on the query. This paper describes how the statistical parameters of a random melody database are modelled to get the same behaviour like a database containing authentic melodies. Databases containing random melodies are a testing facility to QBH-systems.

Authors: Batke, Jan-Mark; Eisenberg, Gunnar
Affiliations: Fachgebiet Nachrichtenübertragung, Technische Universität Berlin, Germany; THOMSON, Corporate Research, Audio Processing Lab(See document for exact affiliation information.)
AES Convention:120 (May 2006) Paper Number:6727 Import into BibTeX
Subject:Audio Archiving, Storage, Restoration, and Content Management

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