The effectiveness study of various music information retrieval approaches
Proceedings of the eleventh international conference on Information and knowledge management
A singer identification technique for content-based classification of MP3 music objects
Proceedings of the eleventh international conference on Information and knowledge management
Efficient K-NN search in polyphonic music databases using a lower bounding mechanism
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Pattern Recognition Letters
True suffix tree approach for discovering non-trivial repeating patterns in a music object
Multimedia Tools and Applications
Relevance feedback for category search in music retrieval based on semantic concept learning
Multimedia Tools and Applications
Real-valued feature indexing for music databases
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
Scalable multi-feature index structure for music databases
Information Sciences: an International Journal
A kind of index for content-based music information retrieval and theme mining
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
A query-by-singing technique for retrieving polyphonic objects of popular music
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Music genre classification using a time-delay neural network
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
A music retrieval system based on query-by-singing for karaoke jukebox
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
An FPGA based parallel architecture for music melody matching
Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays
Efficient top-k algorithms for approximate substring matching
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
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In this paper, an approach for content-based music data retrieval is proposed. In this approach, thematic feature strings, such as melody strings, rhythm strings, and chord strings are extracted from the original music objects and treated as the meta data to represent their contents. The problem of content-based music data retrieval is then transformed into the string matching problem. A new approximate string matching algorithm is also proposed which provides fault tolerance ability according to the music characteristics. To show the efficiency of the algorithm, a set of experiments are performed to compare with the agrep and the fgrep utility on both synthetic and real music data.