Automated Music Track Generation
نویسندگان
چکیده
This paper aims at presenting our method to generate drum tracks to accompany guitar tracks. Our approach was to work on songs in the Midi format, separate them into several segments and then design our own features for the input guitar tracks as well as for the output drum tracks. We performed clustering algorithms (K-means, mixture of Gaussian, DBSCAN) as well as K-nn to group similar guitar tracks from the training set. Our main hypothesis was that guitar tracks that are close to each other might have close drum tracks as well. After assigning a test input to a cluster or set of neighbors, we generated a new drum track by randomly picking it in a specified group of existing drum tracks from the training set. This method has allowed us to obtain very good acoustic results.
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