From Improved Auto-taggers to Improved Music Similarity Measures.
Sprache des Titels:
Proceedings of the 10th International Workshop on Adaptive Multimedia Retrieval (AMR 2012)
This paper focuses on the relation between automatic tag
prediction and music similarity. Intuitively music similarity measures
based on auto-tags should profit from the improvement of the quality
of the underlying audio tag predictors. We present classification experiments that verify this claim. Our results suggest a straight forward way
to further improve content-based music similarity measures by improving
the underlying auto-taggers.