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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.
Author (s): Batke, Jan-Mark;
Eisenberg, Gunnar;
Affiliation:
Fachgebiet Nachrichtenübertragung, Technische Universität Berlin, Germany; THOMSON, Corporate Research, Audio Processing Lab
(See document for exact affiliation information.)
AES Convention: 120
Paper Number:6727
Publication Date:
2006-05-06
Session subject:
Audio Archiving, Storage, Restoration, and Content Management
DOI:
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Batke, Jan-Mark; Eisenberg, Gunnar; 2006; Evaluation of Query-by-Humming Systems using a Random Melody Database [PDF]; Fachgebiet Nachrichtenübertragung, Technische Universität Berlin, Germany; THOMSON, Corporate Research, Audio Processing Lab; Paper 6727; Available from: https://aes.org/publications/elibrary-page/?id=13531
Batke, Jan-Mark; Eisenberg, Gunnar; Evaluation of Query-by-Humming Systems using a Random Melody Database [PDF]; Fachgebiet Nachrichtenübertragung, Technische Universität Berlin, Germany; THOMSON, Corporate Research, Audio Processing Lab; Paper 6727; 2006 Available: https://aes.org/publications/elibrary-page/?id=13531
@inproceedings{Batke2006evaluation,
title={{Evaluation of Query-by-Humming Systems using a Random Melody Database}},
author={Batke, Jan-Mark and Eisenberg, Gunnar},
year={2006},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 6727; AES Convention 120; May 2006},
number={6727},
organization={AES},
}
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