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The MUltiple Stimuli with Hidden Reference and Anchor (MUSHRA) test is a standardized method for evaluating perceived audio quality (ITU-R BS.1534-3). It is commonly used in audio research and development, particularly for the assessment of audio codecs at intermediate audio quality, speech synthesis systems, or enhancement algorithms.
In a MUSHRA study, listeners are presented with a reference audio sample and several test conditions, including at least one hidden reference (identical to the original) and one or more anchors (lower-quality versions to serve as a baseline).
Participants are asked to rate each test condition on a continuous quality scale from 0 (bad) to 100 (excellent) based on how closely it matches the reference in terms of audio quality.
To create a MUSHRA study, upload a dataset with a reference and optional anchors. You can configure the name of the reference and anchors while uploading the dataset. If your dataset does not contain any anchors, the MUSHRA experiment will (optionally) automatically create anchors by low-pass filtering the reference.