On Optimal Filtering for Speech Decomposition. Jaramillo, A. E., Nielsen, J. K., & Christensen, M. G. In 2018 26th European Signal Processing Conference (EUSIPCO), pages 2325-2329, Sep., 2018.
On Optimal Filtering for Speech Decomposition [pdf]Paper  doi  abstract   bibtex   
Optimal linear filtering has been used extensively for speech enhancement. In this paper, we take a first step in trying to apply linear filtering to the decomposition of a noisy speech signal into its components. The problem of decomposing speech into its voiced and unvoiced components is considered as an estimation problem. Assuming a harmonic model for the voiced speech, we propose a Wiener filtering scheme which estimates both components separately in the presence of noise. It is shown under which conditions this optimal filtering formulation outperforms two state-of-the-art speech decomposition methods, which is also revealed by objective measures, spectrograms and informal listening tests.

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