A tool for content based navigation of music
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
An Approximate String Matching Algorithm for Content-Based Music Data Retrieval
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
A Combinatorial Approach to Content-Based Music Selection
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Classification accuracy is not enough
Journal of Intelligent Information Systems
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A method is proposed for classifying music genre for audio retrieval systems using time-delay neural networks. The proposed classification method considers eight types of music genre: Blues, Country, Hard Core, Hard Rock, Jazz, R&B(Soul), Techno, and Trash Metal. The melody between bars in the music is used to distinguish the different genres. The melody pattern is extracted based on the sound of a snare drum, which is used to effectively represent the rhythm periodicity. Classification is based on a time-delay neural network that uses a Fourier transformed vector of the melody as an input pattern. This classification method was used to analyze 80 training data from ten different musical pieces for each genre and a further 40 test data from five additional musical pieces for each genre. The accuracy of the genre classifications that were obtained for the two sets of data was 92.5% and 60%, respectively.