Arthur Flexer, Elias Pampalk, Gerhard Widmer,
"Hidden Markov Models for Spectral Similarity of Songs"
: Proceedings of the 8th International Conference on Digital Audio Effects (DAFx 2005), Madrid, Spain, 2005
Original Titel:
Hidden Markov Models for Spectral Similarity of Songs
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 8th International Conference on Digital Audio Effects (DAFx 2005), Madrid, Spain
Original Kurzfassung:
Hidden Markov Models (HMM) are compared to Gaussian
Mixture Models (GMM) for describing spectral similarity of
songs. Contrary to previous work we make a direct comparison
based on the log-likelihood of songs given an HMM or GMM.
Whereas the direct comparison of log-likelihoods clearly favors
HMMs, this advantage in terms of modeling power does not allow
for any gain in genre classification accuracy.
Forschungs-