Comparison of metrics for the evaluation of similarity in acoustic pressure signals

Abstract

Determining if aeroacoustic sound predictions are accurate is di cult because the question of how to de ne `accurate' remains open. This communication evaluates four metrics for comparing time-domain pressure signals, each implying its own de nition of `accurate.' An adaptation of a Structural Similarity Metric (originating from image processing literature) to time-frequency representations of acoustic signals is shown to outperform typical metrics such as relative energy and mean square error.