Magnitude-Estimation Scaling: An Effective Method for the Measurement of the Quality of Filtered Speech

Abstract

17 subjects provided magnitude estimations in the form of quality judgments of a filtered speech stimulus which was a nonsense sentence containing all of the consonants of English from Fairbanks. It was presented to subjects at 8 high-pass and 8 low-pass filtering conditions. Consistent magnitude estimations to the filtered stimulus were similar for both conditions. Also, for both conditions, subjects' numerical responses consistently increased in value as stimulus quality was judged to be poorer.