Sturm, Bob L.

English

Recent work \cite{Chang2010} combines low-level acoustic featuresand random projection (referred to as ``compressed sensing'' in \cite{Chang2010})to create a music genre classification system showingan accuracy among the highest reportedfor a benchmark dataset.This not only contradicts previous findingsthat suggest low-level features are inadequate foraddressing high-level musical problems,but also that a random projection of features can improve classification.We reproduce this work and resolve these contradictions

On music genre classification via compressive sampling

https://vbn.aau.dk/ws/files/75520950/CSgenre20130312.pdf

On music genre classification via compressive sampling

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