应用扩展均衡-消除模型提高空间分布掩蔽下的言语可懂度。
Application of an extended equalization-cancellation model to speech intelligibility with spatially distributed maskers.
机构信息
Department of Biomedical Engineering, Boston University, Hearing Research Center, Boston, Massachusetts 02215, USA.
出版信息
J Acoust Soc Am. 2010 Dec;128(6):3678-90. doi: 10.1121/1.3502458.
An extended version of the equalization-cancellation (EC) model of binaural processing is described and applied to speech intelligibility tasks in the presence of multiple maskers. The model incorporates time-varying jitters, both in time and amplitude, and implements the equalization and cancellation operations in each frequency band independently. The model is consistent with the original EC model in predicting tone-detection performance for a large set of configurations. When the model is applied to speech, the speech intelligibility index is used to predict speech intelligibility performance in a variety of conditions. Specific conditions addressed include different types of maskers, different numbers of maskers, and different spatial locations of maskers. Model predictions are compared with empirical measurements reported by Hawley et al. [J. Acoust. Soc. Am. 115, 833-843 (2004)] and by Marrone et al. [J. Acoust. Soc. Am. 124, 1146-1158 (2008)]. The model succeeds in predicting speech intelligibility performance when maskers are speech-shaped noise or broadband-modulated speech-shaped noise but fails when the maskers are speech or reversed speech.
描述了一种扩展的双耳处理均衡-抵消（EC）模型，并将其应用于存在多个掩蔽器的语音可懂度任务中。该模型在每个频带中都包含时间和幅度的时变抖动，并独立执行均衡和抵消操作。该模型在预测大量配置的音调检测性能方面与原始 EC 模型一致。当该模型应用于语音时，使用语音可懂度指数来预测各种条件下的语音可懂度性能。具体涉及的条件包括不同类型的掩蔽器、不同数量的掩蔽器以及掩蔽器的不同空间位置。模型预测与 Hawley 等人[J. Acoust. Soc. Am. 115, 833-843（2004）]和 Marrone 等人[J. Acoust. Soc. Am. 124, 1146-1158（2008）]报告的实验测量结果进行了比较。当掩蔽器为语音噪声或宽带调制语音噪声时，该模型成功预测了语音可懂度性能，但当掩蔽器为语音或反转语音时，模型预测失败。
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