Exploiting Nonnegative Matrix Factorization with Mixed Group Sparsity Constraint to Separate Speech Signal from Single-channel Mixture with Unknown Ambient Noise

Exploiting Nonnegative Matrix Factorization with Mixed Group Sparsity Constraint to Separate Speech Signal from Single-channel Mixture with Unknown Ambient Noise

This paper focuses on solving a challenging speech enhancement problem: improving the desired speech from a single-channel audio signal containing high-level unspecified noise (possibly environmental noise, music, other sounds, etc.). Using source separation technique, we investigate a solution comb...

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Bibliographic Details
Main Authors: Thanh Thi Hien Duong, Phuong Cong Nguyen, Cuong Quoc Nguyen
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2018-03-01
Series:EAI Endorsed Transactions on Context-aware Systems and Applications
Subjects:
Speech enhancement
source separation
nonnegative matrix factorizarion (NMF)
sparsity constraint
generic source spectral model
Online Access:http://eudl.eu/doi/10.4108/eai.14-3-2018.154342

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