[PDF] Aalborg Universitet An Analysis of the GTZAN Music Genre Dataset
Most research in automatic music genre recognition has used the dataset assembled by Tzanetakis et al in 2001 The composition and integrity of this dataset,
[PDF] Deep Music Genre - CS231n - Stanford University
ost of the work I read about use the datasets GTZAN [21] dataset, the Million Song Dataset [3] and the MagnaTagATune [15] dataset Aaron et al [1] use MFCC
[PDF] report - CS230 Deep Learning - Stanford University
The GTZAN dataset consists of 1000 audio tracks each 30 seconds long It contains 10 genres, each represented by 100 tracks The tracks all have a sample
[PDF] An Analysis of the GTZAN Music Genre Dataset - CNRS
Nov 2, 2012 · Music genre recognition, exemplary music datasets 1 INTRODUCTION created a dataset (GTZAN) of 1000 music excerpts of 30 seconds
[PDF] Music Genre Classification - CSE-IITK
vectors for the classifiers from the GTZAN genre dataset [5] Many dif ferent classifiers were trained and used to classify, each yielding varying degrees of
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