TY - GEN
T1 - A query by humming system that learns from experience
AU - Little, David
AU - Raffensperger, David
AU - Pardo, Bryan
PY - 2007
Y1 - 2007
N2 - Query-by-Humming (QBH) systems transcribe a sung or hummed query and search for related musical themes in a database, returning the most similar themes. Since it is not possible to predict all individual singer profiles before system deployment, a robust QBH system should be able to adapt to different singers after deployment. Currently deployed systems do not have this capability. We describe a new QBH system that learns from user provided feedback on the search results, letting the system improve while deployed, after only a few queries. This is made possible by a trainable note segmentation system, an easily parameterized singer error model and a straight-forward genetic algorithm. Results show significant improvement in performance given only ten example queries from a particular user.
AB - Query-by-Humming (QBH) systems transcribe a sung or hummed query and search for related musical themes in a database, returning the most similar themes. Since it is not possible to predict all individual singer profiles before system deployment, a robust QBH system should be able to adapt to different singers after deployment. Currently deployed systems do not have this capability. We describe a new QBH system that learns from user provided feedback on the search results, letting the system improve while deployed, after only a few queries. This is made possible by a trainable note segmentation system, an easily parameterized singer error model and a straight-forward genetic algorithm. Results show significant improvement in performance given only ten example queries from a particular user.
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M3 - Conference contribution
AN - SCOPUS:84873605798
SN - 9783854032182
T3 - Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007
SP - 335
EP - 338
BT - Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007
T2 - 8th International Conference on Music Information Retrieval, ISMIR 2007
Y2 - 23 September 2007 through 27 September 2007
ER -