@inproceedings{d439d663ef3045b89d3f668db8d884de,
title = "Beyond error tolerance: Finding thematic similarities in music digital libraries",
abstract = "Current Music Information Retrieval (MIR) systems focus on melody based retrieval with some tolerance for user errors in the melody specification. The system described here presents a novel method for theme retrieval: A theme is described as a list of musical events, containing melody and harmony features, which must be presented in a given order and within a given time frame. The system retrieves musical phrases that fit the description. A system of this type could serve musicians and listeners who wish to discover thematically similar phrases in music digital libraries. The prototype and underlying model have been tested on midi sequences of music by W.A. Mozart and have shown good performance results.",
author = "Tamar Berman and Downie, {J. Stephen} and Bart Berman",
year = "2006",
doi = "10.1007/11863878_44",
language = "English (US)",
isbn = "3540446362",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "463--466",
booktitle = "2nd International Workshop on Parameterized and Exact Computation, IWPEC 2006",
address = "Germany",
note = "10th European Conference on Digital Libraries, ECDL 2006 ; Conference date: 17-09-2006 Through 22-09-2006",
}