Improving music emotion labeling using human computation

@inproceedings{Morton2010ImprovingME,
  title={Improving music emotion labeling using human computation},
  author={Brandon G. Morton and Jacquelin A. Speck and Erik M. Schmidt and Youngmoo. E. Kim},
  booktitle={HCOMP '10},
  year={2010}
}
In the field of Music Information Retrieval, there are many tasks that are not only difficult for machines to solve, but that also lack well-defined answers. In pursuing the automatic recognition of emotions within music, this lack of objectivity makes it difficult to train systems that rely on quantified labels for supervised machine learning. In recent years, researchers have begun to harness Human Computation for the collection of data spanning an excerpt of music. MoodSwings records dynamic… CONTINUE READING
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