From E-C theory to speech intelligibility in rooms
Abstract
Equalization-cancellation theory accounts for the binaural unmasking of tones by assuming that the waveforms within corresponding frequency channels at the left and right ears are optimally equalized by an internal delay and then cancelled. A wide variety of experimental data have been successfully modelled using predictive equations derived from the model for each experimental design. Recently, a single equation has been developed that can make equivalent predictions for any experiment based on interaural statistics measured from the experimental stimuli, regardless of the stimulus construction. We have used this equation to predict unmasking of speech against maskers of very complex construction, one or more interfering noise sources in a reverberant room. The model assumes that effects of better-ear listening and binaural unmasking are additive within each frequency channel and weights their combined effects by the SII frequency weighting function to yield intelligibility predictions. These predictions correlate highly with speech reception thresholds measured in the same con gurations. Deriving the masker statistics directly from room impulse responses, computation is suf ciently economical for the generation of intelligibility maps for a given room, spatial con guration of sources and listener orientation.
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