Spatial features selection for unsupervised speaker segmentation and clustering.

•Spatial features selection methods for speaker segmentation are proposed.•The system relies on cross correlation measures to perform the selection.•The system is compared favourably with other methods such as PCA or the dynamic margin method also developed.•The feature selection algorithm reduces both the error rate and the computational cost.