A novel NMF-HMM speech enhancement algorithm based on Poisson mixture model

Autor: Yang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Grasboll Christensen

Publikováno v: Xiang, Y, Shi, L, Lisby Højvang, J, Højfeldt Rasmussen, M & Christensen, M G 2021, A novel NMF-HMM speech enhancement algorithm based on Poisson mixture model . in ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ., 9414620, IEEE, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, pp. 721-725, ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Ontario, Canada, 06/06/2021 . https://doi.org/10.1109/ICASSP39728.2021.9414620
ICASSP

In this paper, we propose a novel non-negative matrix factorization (NMF) and hidden Markov model (NMF-HMM) based speech enhancement algorithm, which employs a Poisson mixture model (PMM). {Compared to} the previously proposed NMF-HMM method, the new

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