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MIREX 2010: AUDIO TAG CLASSIFICATION USING POSTERIOR WEIGHTED BERNOULLI MIXTURE MODELS ON ADAPTIVE UNIVERSAL MUSIC FEATURE MODEL

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Abstract

Music tags describe different types of semantic informa-tion of music. In this paper, we present our submission to the audio tag classification task in MIREX 2010. We propose a posterior weighted Bernoulli mixture model (PWBMM) to automatically annotate a song with tags. The PWBMM approach uses a Gaussian mixture model-based posterior representation to characterize the 70 di-mensional music feature vectors of a song and incorpo-rates the counts of tags annotated to the training songs in training phase of the Bernoulli mixture model. 1

Year: 2015
OAI identifier: oai:CiteSeerX.psu:10.1.1.674.396
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