Master ’ s Thesis High Quality Musical Audio
نویسنده
چکیده
We present a new method for score-informedsource separation, combining ideas from twoprevious approaches: one based on paramet-ric modeling of the score which constrains theNMF updating process, the other based onPLCA that uses synthesized scores as priorprobability distributions. We experimentallyshow improved separation results using theBSS EVAL and PEASS toolkits, and discussstrengths and weaknesses compared with theprevious PLCA-based approach.
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