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Optimal cost function and magnitude power for NMF-based speech separation and music interpolation

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3 Author(s)
Brian King ; Department of Electrical Engineering, University of Washington, USA ; Cédric Févotte ; Paris Smaragdis

There has been a significant amount of research in new algorithms and applications for nonnegative matrix factorization, but relatively little has been published on practical considerations for real-world applications, such as choosing optimal parameters for a particular application. In this paper, we will look at two applications, single-channel source separation of speech and interpolating missing music data. We will present the optimal parameters found for the experiments as well as discuss how parameters affect performance.

Published in:

2012 IEEE International Workshop on Machine Learning for Signal Processing

Date of Conference:

23-26 Sept. 2012