Statistical Audibility Prediction Algorithm

Predicting the extent that one sound is heard over another is difficult, yet could help engineers to better design for sound management. Innovators at the NASA Langley Research Center and the National Institute of Aerospace (NIA) have developed an algorithm for Statistical Audibility Prediction (SAP) of an arbitrary signal in the presence of noise. The SAP algorithm compares the loudness of signal and noise samples at matching time instances to assess audibility versus time.