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...describes a method based on data mining techniques to classify midi music files into music genres. our method relies on extracting high level symbolic features from midi files. we explore the effect of combining sev- eral data mining preprocessing stages to reduce data pro- cessing complexity and classification execution time. ad- ditionally, we...
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...a challenging problem due to the fact that music is an evolving art. while most of the existing work categorizes music using features extracted from music audio signals, in this paper...from their neighbors. a set of optimizing strategies are designed for the purpose of further enhancing the quality of the two- level classifler. extensive experiments...
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...this paper presents a genre classification algorithm for music data. the proposed methodology relies on note...in capturing a fair amount of information regarding harmonic as well as rhythmic features of different musical genres and pieces, while repeating patterns...
Published in 2006.
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...first, a method that selects the best feature set instead of the best classifier. secondly, a method that selects both the best classifier and the best representation simultaneously. these methods are evaluated on the task of hierarchical music genre classification using four different types of feature sets extracted from each...
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...an inherently multi-modal type of data, and the lyrics associated with the music are as essential to the reception and the message of a song as is the...a more sophisticated machine learning technique, ensemble classification. the results show that the approach is superior to the best choice of a single algorithm on a...
Published in 2010.
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the present article provides a survey of the available literature on data mining using soft computing. a categorization has...computing tools and their hybridizations used, the data mining function implemented, and the preference criterion selected by the model. the utility of the different soft computing methodologies is...
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...turn lead to better understanding of the underlying processes. the field of temporal data mining
is concerned with such analysis in the case of ordered data streams with temporal interdependencies. over the last decade
many interesting techniques of temporal data mining were proposed and shown to...
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...background in history of music. the german baroque music composer georg philipp telemann was one of the most influential composers of his time with a large repertoire of musical styles. the reflection of musical influences of telemann on other composers and the detection of musical influences in telemann's œuvre...
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the present article provides a survey of the available literature on data mining using soft computing. a categorization has...computing tools and their hybridizations used, the data mining function implemented, and the preference criterion selected by the model. the utility of the different soft computing methodologies is...
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...we present a comparative study of three different classification paradigms for genre classification based on repetitive basslines. in spite of a large variety in terms of instrumentation, a bass instrument can...achieve a highest accuracy value of 64.8% for the genre classification solely based on repetitive basslines of a song....