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.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.