普通话单音节小词表正常人识别-强度函数

发布时间：2018-05-17 10:07

本文选题：言语测听法 + 单音节小词表　；参考：《临床耳鼻咽喉头颈外科杂志》2014年06期

【摘要】：目的:对普通话言语测听材料(MSTMs)中等价性一致的一组单音节小词表进行有效性分析,以期描绘出听力正常人的识别-强度函数曲线,为临床听力检测提供快速有效的方法及量度。方法:选取年龄18~26岁,具有大专及以上学历,且以普通话作为日常交流方式的听力正常人37例。选取MSTMs中经过等价性评估的8张单音节小词表,每张20词,其中第1张前10个单音节词统一作为练习表使用。使用SPSS17.0软件对结果进行分析。结果:单音节小词表的言语识别率与给声强度间的Logistic曲线拟合方程为:x=98.557/{(1+12.243exp[-0.17(P-15)]},xmax=98.557;识别率为50%时的给声强度为29.6dB SPL,线性部分的回归方程为Y=3.098 X-43.149。结论:该研究初步建立了基于具有难度等价性的7张普通话单音节小词表的正常人识别-强度函数曲线,为临床听力学检测提供了一种快速有效的评估手段,并且为下一步测试和临床应用提供了基础。
[Abstract]:Objective: to analyze the validity of a group of monosyllabic small words in MSTMs, which are equivalent to each other in mandarin speech audiometry, in order to depict the recognition-intensity function curve of normal hearing people. To provide a rapid and effective method and measurement for clinical hearing test. Methods: a total of 37 normal hearing subjects, aged from 18 to 26 years old, with college degree or above and using Putonghua as a means of daily communication, were selected. This paper selects 8 monosyllabic word lists in MSTMs with 20 words each, and the first 10 monosyllabic words are used as the exercise table. The results were analyzed with SPSS17.0 software. Results: the fitting equation of Logistic curve between the speech recognition rate of monosyllabic small word table and the intensity of given sound was: 1 12.243exp [-0.17 12.243exp [-0.17 12.243exp P-15]} X max98.557, the intensity of giving sound was 29.6dB when the recognition rate was 50, and the regression equation of linear part was Y3.098 X-43.149. Conclusion: this study preliminarily established the recognition-intensity function curve of normal people based on 7 ordinary monosyllabic lexical lists with difficulty equivalence, which provides a rapid and effective evaluation method for clinical audiological examination. It also provides the basis for further testing and clinical application.
【作者单位】：首都医科大学附属北京同仁医院耳鼻咽喉-头颈外科北京市耳鼻咽喉科研究所;
【基金】：国家自然科学基金资助项目(No:81070784,81200754) 北京市自然科学基金资助项目(No:7122034) 首都卫生科研发展专项基金(No:2011-1017-04) 2012北京市科技新星计划(No:Z121107002512033)
【分类号】：R764

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