Suppr超能文献

感音神经性听力损失建模。I. 模型与回顾性评估。

Modeling sensorineural hearing loss. I. Model and retrospective evaluation.

作者信息

Humes L E, Espinoza-Varas B, Watson C S

机构信息

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

出版信息

J Acoust Soc Am. 1988 Jan;83(1):188-202. doi: 10.1121/1.396420.

Abstract

The present article describes an approach to the evaluation of psychoacoustic data from the hearing impaired. The results obtained from the hearing impaired in several studies of frequency resolution, temporal resolution, and speech recognition are compared to the results expected for noise-masked normal listeners. It is presumed in this approach that the hypothetical noise-masked normal listeners have masked thresholds that agree perfectly with the quiet thresholds of the hearing-impaired subjects. Using this approach, most of the results obtained from impaired ears on spectral-resolution and speech-recognition tasks could be accurately predicted, an exception being results from spectral-resolution paradigms using fixed-level signals. Some of the data from hearing-impaired listeners on temporal-resolution tasks, on the other hand, could not be adequately described with this approach. The latter data, however, were much more limited. Additional data are needed to better evaluate the adequacy of this approach in describing the performance of the hearing impaired on temporal-resolution tasks.

摘要

本文描述了一种评估听力受损者心理声学数据的方法。在频率分辨率、时间分辨率和言语识别的多项研究中,听力受损者所获得的结果与噪声掩蔽正常听力者预期的结果进行了比较。在这种方法中,假定假设的噪声掩蔽正常听力者的掩蔽阈值与听力受损受试者的安静阈值完全一致。使用这种方法,从听力受损耳朵在频谱分辨率和言语识别任务中获得的大多数结果都可以得到准确预测,但使用固定电平信号的频谱分辨率范式的结果除外。另一方面,这种方法无法充分描述听力受损者在时间分辨率任务中的一些数据。然而,后一种数据非常有限。需要更多数据来更好地评估这种方法在描述听力受损者在时间分辨率任务中的表现时的充分性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验