Predicting binaural speech intelligibility in architectural acoustics

Abstract

A binaural model of speech understanding in background noise is presented and applied to the problem of predicting intelligibility in noisy rooms. It is shown that the model can make accurate predictions from binaural room impulse responses that are short compared to the reverberation time of the room. The model indicates (1) that there can be wide variations in intelligibility even within a fairly uniform listening space when multiple noise sources are present, (2) reverberation time is a poor predictor of intelligibility, (3) intelligibility varies as a function of the listener’s’ head orientation. The effects of room occupancy, restaurant table orientation and hearing impairment are also discussed.