A comparative evaluation of search techniques for query-by-humming using the MUSART testbed
Journal of the American Society for Information Science and Technology
User specific training of a music search engine
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Visual expression for organizing and accessing music collections in MusicWiz
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Query by humming: Automatically building the database from music recordings
Pattern Recognition Letters
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The VocalSearch system is a music search engine developed at Northwestern University and available on the internet (vocalsearch.org). This system lets the user query for the desired song in a number of ways: sung queries, queries entered as music notation, and text-based lyrics search. Users are also able to contribute songs to the system, making them searchable for future users. The result is a flexible system that lets the user find the song using their preferred modality (music notation, text, music notation). This demonstration lets users try out the VocalSearch system.