Enhancement of Noisy Reverberant Speech Using Polynomial Matrix Eigenvalue Decomposition
Published in IEEE/ACM Trans. Audio Speech and Lang. Process., 2021
Recommended citation: V. W. Neo, C. Evers, and P. A. Naylor, "Enhancement of noisy reverberant speech using polynomial matrix eigenvalue decomposition," IEEE/ACM Trans. Audio, Speech and Lang. Process., vol. 28, 2021. doi: 10.1109/TASLP.2021.3120630
This paper studies the parameter settings of the PEVD-based speech enhancement algorithm and a thorough comparison with several benchmark approaches.
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Recommended citation: ‘V. W. Neo, C. Evers, and P. A. Naylor, “Enhancement of noisy reverberant speech using polynomial matrix eigenvalue decomposition,” IEEE/ACM Trans. Audio, Speech and Lang. Process., vol. 28, 2021. doi: 10.1109/TASLP.2021.3120630’