Underdetermined Separation of Speech Mixture Based on Sparse Bayesian Learning

Table 1

The parameters for -SVD training.

The number of training data	10 speeches for every speaker
Window length	1024
Dictionary size
The number of iterations	200
Window overlap	50%
Sampling rate	8000