Waisman Center, University of Wisconsin, 1500 Highland Avenue, Madison, Wisconsin 53705, USA.
J Acoust Soc Am. 2011 Sep;130(3):1463-74. doi: 10.1121/1.3613928.
A mathematical formula for estimating spatial release from masking (SRM) in a cocktail party environment would be useful as a simpler alternative to computationally intensive algorithms and may enhance understanding of underlying mechanisms. The experiment presented herein was designed to provide a strong test of a model that divides SRM into contributions of asymmetry and angular separation [Bronkhorst (2000). Acustica 86, 117-128] and to examine whether that model can be extended to include speech maskers. Across masker types the contribution to SRM of angular separation of maskers from the target was found to grow at a diminishing rate as angular separation increased within the frontal hemifield, contrary to predictions of the model. Speech maskers differed from noise maskers in the overall magnitude of SRM and in the contribution of angular separation (both greater for speech). These results were used to develop a modified model that achieved good fits to data for noise maskers (ρ=0.93) and for speech maskers (ρ=0.94) while using the same functions to describe separation and asymmetry components of SRM for both masker types. These findings suggest that this approach can be used to accurately model SRM for speech maskers in addition to primarily "energetic" noise maskers.
在鸡尾酒会环境中,估计掩蔽空间释放(SRM)的数学公式将是一种更简单的替代计算密集型算法的方法,并且可以增强对潜在机制的理解。本文介绍的实验旨在对一种将 SRM 分为不对称和角度分离贡献的模型进行严格测试[Bronkhorst(2000)。声学学报 86,117-128],并检验该模型是否可以扩展到包括语音掩蔽器。在掩蔽器类型方面,发现在额半视野内,随着掩蔽器与目标之间的角度分离增加,掩蔽器的角度分离对 SRM 的贡献呈递减速率增加,这与模型的预测相反。与噪声掩蔽器相比,语音掩蔽器在 SRM 的整体幅度和角度分离贡献方面存在差异(两者对语音的影响更大)。这些结果用于开发一种改进的模型,该模型可以很好地拟合噪声掩蔽器的数据(ρ=0.93)和语音掩蔽器的数据(ρ=0.94),同时使用相同的函数来描述两种掩蔽器类型的 SRM 的分离和不对称分量。这些发现表明,这种方法可以用于准确地模拟除主要的“能量”噪声掩蔽器之外的语音掩蔽器的 SRM。