A Benchmark Dataset for Audio Classification and Clustering

@inproceedings{Homburg2005ABD,
  title={A Benchmark Dataset for Audio Classification and Clustering},
  author={Helge Homburg and Ingo Mierswa and B{\"u}lent M{\"o}ller and Katharina Morik and Michael Wurst},
  booktitle={ISMIR},
  year={2005}
}
We present a freely available benchmark dataset for audio classification and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband site. Beside the audio clips themselves, textual meta data is provided for the individual songs. The songs are classified into 9 genres. In addition to the genre information, our dataset also consists of 24 hierarchical cluste r models created manually by a group of users. This enables a user centric evaluation of audio… CONTINUE READING
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