Study of noised speech separation based on ICA and linear neural network
Hui Li · Computer Engineering and Applications Journal · 2010
The neglect of the noise generally causes worse effect in the blind separation of mixed speech signal by Independent Component Analysis(ICA),which is sampled in the environmental of strong noise.In order to overcome this deficiency,here,by means of combining the noise canceller and ICA,a new separation method of mixed speech signal under the condition of strong noise is proposed.Firstly,making the mixed signal pass through the noise canceller,which is accomplished by adaptive linear neural network,then using the ICA algorithm to separate the mixed signal.Compared with another separation method,which increasing the noise as a source signal,the proposed method has a better separation effect.