Suppr超能文献

掩蔽相加模型。

Models of the additivity of masking.

作者信息

Humes L E, Jesteadt W

机构信息

Department of Speech and Hearing Sciences, Indiana University, Bloomington 47405.

出版信息

J Acoust Soc Am. 1989 Mar;85(3):1285-94. doi: 10.1121/1.397459.

Abstract

Three models of masking additivity are reviewed, which are referred to as the high-compression model [M. J. Penner, J. Acoust. Soc. Am. 67, 608-616 (1980); M. J. Penner and R. M. Shiffrin, J. Acoust. Soc. Am. 67, 617-627 (1980)], the power-law model [R. A. Lutfi, J. Acoust. Soc. Am. 73, 262-267 (1983); 80, 422-428 (1986)], and the modified power-law model with compressed internal noise [Humes et al., J. Acoust. Soc. Am. 83, 188-202 (1988)]. While the high-compression model was derived from data for two or more nonsimultaneous maskers and the power-law model was derived from data for two or more simultaneous maskers, the modified power-law model can be applied to both cases. The modified power-law model assumes that the threshold in quiet is equivalent to a masked threshold resulting from an internal noise that is continually present. Additional assumptions concern the interaction of two maskers prior to the addition of the masking effects. Most of the data on the additivity of masking are well described by the modified power-law model, regardless of the nature of the maskers. Thus the model provides a good description of data for combined simultaneous maskers and combined nonsimultaneous maskers, a task heretofore requiring the use of at least two separate and independently developed models.

摘要

本文回顾了三种掩蔽相加性模型,分别称为高压缩模型[M. J. 彭纳,《美国声学学会杂志》67, 608 - 616 (1980); M. J. 彭纳和R. M. 希夫林,《美国声学学会杂志》67, 617 - 627 (1980)]、幂律模型[R. A. 卢菲,《美国声学学会杂志》73, 262 - 267 (1983); 80, 422 - 428 (1986)]以及具有压缩内部噪声的修正幂律模型[休姆斯等人,《美国声学学会杂志》83, 188 - 202 (1988)]。高压缩模型源自两个或更多非同时掩蔽器的数据,幂律模型源自两个或更多同时掩蔽器的数据,而修正幂律模型可应用于这两种情况。修正幂律模型假设安静时的阈值等同于由持续存在的内部噪声产生的掩蔽阈值。其他假设涉及在叠加掩蔽效应之前两个掩蔽器的相互作用。无论掩蔽器的性质如何,大多数关于掩蔽相加性的数据都能被修正幂律模型很好地描述。因此,该模型能很好地描述同时掩蔽器组合和非同时掩蔽器组合的数据,在此之前这项任务需要使用至少两个单独且独立开发的模型。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验