Easy As CBA: A Simple Probabilistic Model for Tagging Music

  title={Easy As CBA: A Simple Probabilistic Model for Tagging Music},
  author={Matthew D. Hoffman and David M. Blei and Perry R. Cook},
Many songs in large music databases are not labeled with semantic tags that could help users sort out the songs they want to listen to from those they do not. If the words that apply to a song can be predicted from audio, then those predictions can be used both to automatically annotate a song with tags, allowing users to get a sense of what qualities characterize a song at a glance. Automatic tag prediction can also drive retrieval by allowing users to search for the songs most strongly… CONTINUE READING
Highly Influential
This paper has highly influenced 22 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 114 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 79 extracted citations

115 Citations

Citations per Year
Semantic Scholar estimates that this publication has 115 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…