Regularized non-negative matrix factorization with Gaussian mixtures and masking model for speech enhancement

Author:

Chung Hanwook,Plourde Eric,Champagne Benoit

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference55 articles.

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3. Suppression of acoustic noise in speech using spectral subtraction;Boll;IEEE Trans. Acoust. Speech Signal Process.,1979

4. Bayesian inference for nonnegative matrix factorisation models;Cemgil;Comput. Intell. Neurosci,,2009

5. Regularized NMF-based speech enhancement with spectral components modeled by Gaussian mixtures;Chung,2014

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1. Single-channel Speech Separation Based on Double-density Dual-tree CWT and SNMF;Annals of Emerging Technologies in Computing;2024-01-01

2. A Comparative Analysis of Speech Enhancement Techniques Based on Sparsity Features;2023 10th International Conference on Signal Processing and Integrated Networks (SPIN);2023-03-23

3. Speech enhancement using long short term memory with trained speech features and adaptive wiener filter;Multimedia Tools and Applications;2022-07-14

4. Adaptive recurrent nonnegative matrix factorization with phase compensation for Single-Channel speech enhancement;Multimedia Tools and Applications;2022-03-30

5. Deep Convolutional Neural Network-based Speech Signal Enhancement Using Extensive Speech Features;International Journal of Computational Methods;2021-12-24

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