Evaluation of a Score-informed Source Separation System


In this work, we investigate a method for score-informed source separation using Probabilistic Latent Component Analysis (PLCA). We present extensive test results that give an indication of the performance of the method, its strengths and weaknesses. For this purpose, we created a test database that has been made available to the public, in order to encourage comparisons with alternative methods.

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@inproceedings{Ganseman2010EvaluationOA, title={Evaluation of a Score-informed Source Separation System}, author={Joachim Ganseman and Paul Scheunders and Gautham J. Mysore and Jonathan S. Abel}, booktitle={ISMIR}, year={2010} }