.png){kind=icon}
.png){kind=icon}
Return
A New Initialization Method for Frequency-Domain Blind Source Separation Algorithms
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2011.2135851.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Frequency-domain blind source separation (BSS) techniques have been proposed with the objective of increasing the speed and/or reducing the computational complexity of conventional algorithms, mainly for applications that involve large convolutive mixture filters. In this letter, we present a new initialization method for frequency-domain BSS algorithms employing estimates of the directions of arrival and time-frequency masking, that outperforms the classical pre-whitening initialization technique. Performance and convergence time results of the proposed approach are presented using a frequency-domain BSS algorithm that exploits higher-order frequency dependencies, employing real conference room recordings and simulated data.
Keywords:
Blind source separation (BSS)
convolutive mixtures
clustering
direction of arrival
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W