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Mean Opinion Score (MOS) is a popular measure for evaluating synthesizedspeech. However, the scores obtained in MOS tests are heavily dependent uponmany contextual factors. One such factor is the overall range of quality of thesamples presented in the test -- listeners tend to try to use the entire rangeof scoring options available to them regardless of this, a phenomenon which isknown as range-equalizing bias. In this paper, we systematically investigatethe effects of range-equalizing bias on MOS tests for synthesized speech byconducting a series of listening tests in which we progressively "zoom in" on asmaller number of systems in the higher-quality range. This allows us to betterunderstand and quantify the effects of range-equalizing bias in MOS tests.

Investigating Range-Equalizing Bias in Mean Opinion Score Ratings of Synthesized Speech