MUSHRA

MUSHRA stands for MUltiple Stimuli with Hidden Reference and Anchor and is a methodology for subjective evaluation of audio quality, to evaluate the perceived quality of the output from lossy audio compression algorithms. It is defined by ITU-R recommendation BS.1534-1 [http://www.itu.int/rec/R-REC-BS.1534/en ITU-R recommendation BS.1534] ] .

The main advantage over the Mean Opinion Score (MOS) methodology (which serves a similar purpose) is that it requires fewer participants to obtain statistically significant results. This is due to the fact that all comparisons are paired (i.e. a paired t-test can be used) and that the 0-100 scale makes it possible to rate very small differences. In MUSHRA, the listener is presented with the reference (labeled as such), a certain number of test samples, a hidden version of the reference and one or more anchors. The recommendation specifies that one anchor must be a 3.5 kHz low-pass version of the reference. The purpose of the anchor(s) is to make the scale be closer to an "absolute scale", making sure that minor artifacts are not rated as having very bad quality.

References

External links

# [http://rateit.sourceforge.net/ RateIt: A GUI for performing MUSHRA experiments]
# [http://www.elec.qmul.ac.uk/digitalmusic/downloads/#mushram MUSHRAM - A Matlab interface for MUSHRA listening tests]