From Improved Auto-taggers to Improved Music Similarity Measures.
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 10th International Workshop on Adaptive Multimedia Retrieval (AMR 2012)
Original Kurzfassung:
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.