Music Tagging with Regularized Logistic Regression

  title={Music Tagging with Regularized Logistic Regression},
  author={Bo Xie and Wei Bian and Dacheng Tao and Parag Chordia},
In this paper, we present a set of simple and efficient regularized logistic regression algorithms to predict tags of m usic. We first vector-quantize the delta MFCC features using k-means and construct “bag-of-words” representation for each song. We then learn the parameters of these logistic regression algorithms from the “bag-of-words” vectors and ground truth labels in the training set. At test time, the prediction confidence by the linear classifiers can be used to rank the songs for music… CONTINUE READING


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