Title
A Robust Blind Source Separation Algorithm Based on Non-negative Matrix Factorization and Frequency-Sliding Generalized Cross-Correlation
Abstract
In this paper, a blind source separation algorithm based on time delay estimation (TDE) and non-negative matrix factorization (NMF) is proposed. In the TDE module, sub-band generalized cross correlation (GCC), frequency-sliding and singular value decomposition (SVD) techniques are used to get more accurate estimation. The time differences of arrival (TDOA) estimation of sources can be obtained from weighted low-rank approximation of the Frequency-Sliding GCC (FS-GCC) matrix. Then the sound sources are reconstructed in the NMF module by grouping the dictionary atoms according to their spatial information. The experiment uses utterances from SiSEC2018 database. Performance is quantified using the BSS Eval toolkits. Results prove that the proposed algorithm outperforms the compared ones in the noisy environments.
Year
DOI
Venue
2021
10.1109/SSP49050.2021.9513746
2021 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP)
Keywords
DocType
Citations 
blind source separation, NMF, TDE, frequency-sliding, GCC
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Shiting Wang100.34
Yi Zhou200.68
Xiuxiang Yang300.68
Hongqing Liu401.01