A Demonstration of Improved Precision of Word Recognition Scores

Author:

Schlauch Robert S.1,Anderson Elizabeth S.1,Micheyl Christophe1

Affiliation:

1. University of Minnesota, Minneapolis

Abstract

Purpose The purpose of this study was to demonstrate improved precision of word recognition scores (WRSs) by increasing list length and analyzing phonemic errors. Method Pure-tone thresholds (frequencies between 0.25 and 8.0 kHz) and WRSs were measured in 3 levels of speech-shaped noise (50, 52, and 54 dB HL) for 24 listeners with normal hearing. WRSs were obtained for half-lists and full lists of Northwestern University Test No. 6 (Tillman & Carhart, 1966) words presented at 48 dB HL. A resampling procedure was used to derive dimensionless effect sizes for identifying a change in hearing using the data. This allowed the direct comparison of the magnitude of shifts in WRS (%) and in the average pure-tone threshold (dB), which provided a context for interpreting the WRS. Results WRSs based on a 50-word list analyzed by the percentage of correct phonemes were significantly more sensitive for identifying a change in hearing than the WRSs based on 25-word lists analyzed by percentage of correct words. Conclusion Increasing the number of items that contribute to a WRS significantly increased the test's ability to identify a change in hearing. Clinical and research applications could potentially benefit from a more precise word recognition test, the only basic audiologic measure that estimates directly the distortion component of hearing loss and its effect on communication.

Publisher

American Speech Language Hearing Association

Subject

Speech and Hearing,Linguistics and Language,Language and Linguistics

Reference50 articles.

1. American National Standards Institute. (2010). Specifications for audiometers (ANSI/ASA S3.6-2010). New York NY: Author.

2. American Speech-Language-Hearing Association Working Group on Manual Pure-Tone Threshold Audiometry. (1978). Guidelines for manual pure-tone threshold audiometry. Retrieved from www.asha.org/policy/GL2005-00014/

3. Relationships among speech threshold, loudness discomfort, comfortable loudness, and PB max in the elderly hearing impaired;Beattie R. C.;American Journal of Otology,1982

4. Quantitative evaluation of lexical status, word frequency, and neighborhood density as context effects in spoken word recognition

5. Developments in Speech Audiometry

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Structural connectivity changes in unilateral hearing loss;Cerebral Cortex;2024-06

2. Combined convolution recurrent neural network for the classification of dysarthria speech;International Journal of Nutrition, Pharmacology, Neurological Diseases;2024-04

3. Experimental Results of CNN and RNN Models for Identification of Parkinson’s Disease;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19

4. Presbycusis and Hearing Preservation in Observed Vestibular Schwannomas;Otology & Neurotology;2023-07-07

5. Artificial Intelligence-Based Hearing Loss Detection Using Acoustic Threshold and Speech Perception Level;Arabian Journal for Science and Engineering;2023-05-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3