Speech Enhancement Based on Dictionary Learning and Low-Rank Matrix Decomposition

In this paper, a new speech enhancement method is proposed based on dictionary learning and low-rank matrix decomposition with the objective to improve speech quality and intelligibility. In both the learning stage and the enhancement stage of the proposed method, a new noise model is employed to ca...

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Bibliographic Details
Main Authors: Yunyun Ji, Wei-Ping Zhu, Benoit Champagne
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8579124/