Query by humming: musical information retrieval in an audio database
Proceedings of the third ACM international conference on Multimedia
A practical query-by-humming system for a large music database
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Content-based retrieval of MP3 music objects
Proceedings of the tenth international conference on Information and knowledge management
Self-Organizing Maps
The Growing Hierarchical Self-Organizing Map
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6 - Volume 6
Query by humming with the VocalSearch system
Communications of the ACM - Music information retrieval
Incorporating machine-learning into music similarity estimation
Proceedings of the 1st ACM workshop on Audio and music computing multimedia
Recognition and visualization of music sequences using self-organizing feature maps
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
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The ever-increasing density of computer storage devices has allowed the average user to store enormous quantities of multimedia content, and a large amount of this content is usually music. Current search techniques for musical content rely on meta-data tags which describe artist, album, year, genre, etc. Query-by-content systems allow users to search based upon the acoustical content of the songs. Recent systems have mainly depended upon textual representations of the queries and targets in order to apply common string-matching algorithms. However, these methods lose much of the information content of the song and limit the ways in which a user may search. We have created a music recommendation system that uses Self-Organizing Maps to find similarities between songs while preserving more of the original acoustical content. We build on the design of the recommendation system to create a musical query-by-content system. We discuss the weaknesses of the naive solution and then implement a quasi-supervised design and discuss some preliminary results.