We discuss the problems that arise when evaluating the performance of blind upmix algorithms. After having reviewed several evaluation methodologies encountered in literature, we describe a method involving conventional spatial attributes grading and user comments analyses. We report listening test results during which four upmix algorithms have been evaluated. The dependence of algorithms` performance upon test materials and the limited influence of listeners` expertise level upon the gradings are highlighted. We analyse the experimental data and discuss the design of subjective methods for evaluating blind upmix algorithms.
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