SiMPle: Assessing Music Similarity Using Subsequences Joins

@inproceedings{Silva2016SiMPleAM,
  title={SiMPle: Assessing Music Similarity Using Subsequences Joins},
  author={Diego Furtado Silva and Chin-Chia Michael Yeh and Gustavo E. A. P. A. Batista and Eamonn J. Keogh},
  booktitle={ISMIR},
  year={2016}
}
Most algorithms for music information retrieval are based on the analysis of the similarity between feature sets extracted from the raw audio. A common approach to assessing similarities within or between recordings is by creating similarity matrices. However, this approach requires quadratic space for each comparison and typically requires a costly post-processing of the matrix. In this work, we propose a simple and efficient representation based on a subsequence similarity join, which may be… CONTINUE READING

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