Auxiliary function approach to parameter estimation of constrained sinusoidal model for monaural speech separation

We introduce in this paper an auxiliary function approach to parameter estimation of the constrained sinusoidal model, which enables us to derive a complex-spectrum-domain EM-like multiple F
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estimation algorithm. Through simulations, we evaluated the performance of the presented method in the ability to avoid locally optimal solutions. We implemented a monaural speech separation system based on the presented method and confirmed its performance on compound signals of real speech.