Improving the performance of the instantaneous Blind audio Source Separation algorithms
Amr E. Mahmoud, Reda A.A. Ammar, Mohamed I. Eladawy, Medhat Hussien · 2009
Several algorithms for instantaneous Blind Source Separation (BSS) have been introduced in the past years. The performance of these algorithms needs to be evaluated and assessed to study their merits and choose the best of them for a given application. In this paper, a new adaptive approach is presented to evaluate different blind source separation algorithms. In this new approach, three new evaluation metrics are added. The first metric is the minimum number of samples required for a successful separation process. The second metric is the time needed to complete the separation process. The third metric is the number of sources that the BSS algorithm can separate from their mixtures.