When speech is in competition with interfering sources in rooms, monaural indicators of intelligibility fail to take account of the listener's abilities to separate target speech from interfering sounds using the binaural system. In order to incorporate these segregation abilities and their susceptibility to reverberation, Lavandier and Culling J. Acoust. Soc. Am. 127, 387-399 (2010) proposed a model which combines effects of better-ear listening and binaural unmasking. A computationally efficient version of this model is evaluated here under more realistic conditions that include head shadow, multiple stationary noise sources, and real-room acoustics. Three experiments are presented in which speech reception thresholds were measured in the presence of one to three interferers using real-room listening over headphones, simulated by convolving anechoic stimuli with binaural room impulse-responses measured with dummy-head transducers in five rooms. Without fitting any parameter of the model, there was close correspondence between measured and predicted differences in threshold across all tested conditions. The model's components of better-ear listening and binaural unmasking were validated both in isolation and in combination. The computational efficiency of this prediction method allows the generation of complex intelligibility maps from room designs.
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机译：当语音与房间中的干扰源竞争时，可懂度的单声道指标无法考虑听众使用双耳系统将目标语音与干扰声音区分开的能力。为了合并这些隔离能力及其对混响的敏感性，Lavandier和Culling J. Acoust。 Soc。上午。 127，387-399（2010）提出了一种模型，该模型结合了更好听的耳朵和双耳解掩效果。在更实际的条件下（包括头部阴影，多个固定噪声源和实际房间的声音），在此评估该模型的计算效率。提出了三个实验，其中使用真实的房间在头戴式耳机收听，在存在一到三个干扰者的情况下测量语音接收阈值，通过将消声刺激与在五个房间中用假头换能器测量的双耳房间冲激响应进行卷积来模拟。在不拟合模型的任何参数的情况下，在所有测试条件下，阈值的测量差异和预测差异之间存在密切的对应关系。该模型的较好听觉和双耳解掩的组成部分已通过隔离和组合验证。这种预测方法的计算效率允许从房间设计中生成复杂的清晰度图。
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