Blind Source Separation of Noisy Mixed Speech Signals
Hui Ya Li, Jian Ying Shi, Jin Xi Men · Applied Mechanics and Materials · 2013
In this paper, a new method for blind source separation of the noisy mixed speech signals is introduced. Firstly, the adaptive spectral subtraction is adopted to eliminate noise of noisy mixed speech signals. Secondly, the FASTICA algorithm is used to separate denoised mixed speech signals .Finally, wavelet transform is applied to remove the residual noise, and then the estimation of each speech source signal can be got.