| Interaural incoherence is a measure of the dissimilarity of the signals in the left and right ears. It is important in a number of acoustical phenomenon such as a listener's sensation envelopment and apparent source width in room acoustics, speech intelligibility, and binaural release from energetic masking. Humans are incredibly sensitive to the difference between perfectly coherent and slightly incoherent signals, however the nature of this sensitivity is not well understood. The purpose of this dissertation is to understand what parameters are important to incoherence detection. Incoherence is perceived to have time-varying characteristics. It is conjectured that incoherence detection is performed by a process that takes this time dependency into account.; Left-ear-right-ear noise-pairs were generated, all with a fixed value of interaural coherence, 0.9922. The noises had a center frequency of 500 Hz, a bandwidth of 14 Hz, and a duration of 500 ms. Listeners were required to discriminate between these slightly incoherent noises and diotic noises, with a coherence of 1.0. It was found that the value of interaural incoherence itself was an inadequate predictor of discrimination. Instead, incoherence was much more readily detected for those noise-pairs with the largest fluctuations in interaural phase and level differences (as measured by the standard deviation). Noise-pairs with the same value of coherence, and geometric mean frequency of 500 Hz were also generated for bandwidths of 108 Hz and 2394 Hz. It was found that for increasing bandwidth, fluctuations in interaural differences varied less between different noise-pairs and that detection performance varied less as well. The results suggest that incoherence detection is based on the size and the speed of interaural fluctuations and that the value of coherence itself predicts performance only in the wide-band limit where different particular noises with the same incoherence have similar fluctuations.; Noise-pairs with short durations of 100, 50, and 25 ms, and bandwidth of 14 Hz, and a coherence of 0.9922 were used to test if a short-term incoherence function is used in incoherence detection. It was found that listeners could significantly use fluctuations of phase and level to detect incoherence for all three of these short durations. Therefore, a short-term coherence function is not used to detect incoherence. For the smallest duration of 25 ms, listeners' detection cue sometimes changed from a "width" cue to a lateralization cue.; Modeling of the data was performed. Ten different binaural models were tested against detection data for 14-Hz and 108-Hz bandwidths. These models included different types of binaural processing: independent interaural phase and level differences, lateral position, and short-term cross-correlation. Several preprocessing features were incorporated in the models: compression, temporal averaging, and envelope weighting. For the 14-Hz bandwidth data, the most successful model assumed independent centers for interaural phase and interaural level processing, and this model correlated with detectability at r = 0.87. That model also described the data best when it was assumed that interaural phase fluctuations and interaural level fluctuations contribute approximately equally to incoherence detection. For the 108-Hz bandwidth data, detection performance varied much less among different waveforms, and the data were less able to distinguish between models. |
