Improvement In Automatic Speech Recognition Performance In Noisy Environments Using Time-Domain Blind Source Separation

2007 ◽  
Author(s):  
Cemil Demir ◽  
F. Kerem Harmanci
Keyword(s):  
Speech Recognition ◽  
Blind Source Separation ◽  
Automatic Speech Recognition ◽  
Time Domain ◽  
Recognition Performance ◽  
Source Separation ◽  
Noisy Environments

Convolutive Blind Source Separation Based on Wavelet De-Noising

2013 ◽  
Vol 756-759 ◽  
pp. 3356-3361 ◽  
Author(s):  
Hong Bin Zhang ◽  
Peng Fei Xu
Keyword(s):  
Blind Source Separation ◽  
Time Domain ◽  
Source Separation ◽  
Noise Pollution ◽  
Processing Method ◽  
Separation System ◽  
Communication Signals ◽  
The Time Domain ◽  
Ica Algorithm ◽  
Convolutive Blind Source Separation

The paper discusses the time-domain blind seperation applied to communication signals, using an ICA algorithm EFICA together with a wavelet de-noising processing method. In the Blind source separation system, regardless of the mixed signals and separated signals, noise pollution occurs frequently, it increases the complexity of BSS and the difficulty of dealing with the aftermath. So an automatic method of and wavelet de-noising processing is proposed finally. It yields good results in the experiment and improves the performance of BSS system.

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