Evaluation of blind signal separation methods

Recently many new Blind Signal Separation BSS algorithms have been introduced Authors evaluate the performance of their algorithms in various ways Among these are speech recognition rates plots of separated signals plots of cascaded mixingunmixing impulse responses and signal to noise ratios Clearly not all of these methods give a good reection of the performance of these algorithms.Moreover since the evaluation is done using different measures and different data results cannot be compared As a solution we provide a unified methodology of evaluating BSS algorithms along with providing data online such that researches can compare their results We will focus on acoustical applications but many of the remarks apply to other BSS application areas as well