摘要
目的为正在开发的老年人听觉言语交流能力训练系统建立语料库,并对语料库进行难度分级,以满足不同听力和言语水平的训练者。方法建立一个包含12个主题、3627条语句的训练语料库。预实验招募12名听力正常成年人受试者,对随机抽取的100句测试语料进行4个信噪比(signal-to-noise ratio,SNR)条件下的言语识别率测试。绘制语句的言语识别率-强度(performance-intensity,PI)函数曲线,确定听力正常成年人对语料库中语句正确识别50%的信噪比数值(SNR50)。正式实验重新招募17名受试者,在预实验确定的SNR50(-6.5 dB)条件下,对语料库中的所有语句进行噪声下言语识别率测试。计算全部语句的平均言语识别率,绘制识别率-频数直方图与正态分布曲线。基于正态曲线下的面积计算言语识别率分割点,将语料库中的语句划分为简单、中等、困难三个难度级别。结果经统计学分析,对老年人听觉言语交流能力训练系统语料库中语句完成难度划分。简单语句数量1144(33%),中等语句数量1099(32%),困难语句数量1212(35%)。结论本研究完成老年人听觉言语交流能力训练系统语料库建立与难度分级,分级结果基本符合按照面积划分难度梯度的原则。研究探索听觉训练语句材料难度分级的方法,有助于训练内容与训练者的能力水平相匹配,从而提高训练效果和用户体验。
OBJECTIVE Aimed to construct a corpus for a developing auditory-verbal communication training system tailored for the elderly and to grade the difficulty of sentence materials.The ultimate goal is to meet the diverse needs of trainees with varying hearing and speech capabilities.METHODS A training corpus,encompassing 3627 sentences across 12 distinct topics,was systematically established.During the pre-experimental phase,12 adult subjects with normal hearing were recruited.They were tasked with conducting speech recognition rate tests on 100 randomly selected test sentences under four different signal-to-noise ratio(SNR)conditions.By plotting the performance-intensity(P-I)function curve,the SNR50 value,specifically-6.5 dB,was accurately determined.In the formal experiment,17 additional subjects were recruited.All sentences within the corpus were then subjected to speech recognition rate tests in a noisy environment under the established SNR50 condition.The average recognition rate was computed,and both the recognition rate-frequency histogram and the normal distribution curve were plotted.Leveraging the area beneath the normal curve,the segmentation points of the speech recognition rate were calculated,enabling the classification of sentences into three difficulty levels:easy,medium,and difficult.RESULTS The task of classifying the difficulty of sentences within the corpus was successfully accomplished.Specifically,there were 1144 easy sentences,constituting 33%of the total;1099 medium sentences,accounting for 32%;and 1212 difficult sentences,representing 35%.CONCLUSION This research has successfully concluded the establishment of a corpus for the elderly's auditory-verbal communication ability training system and its associated difficulty grading.The obtained grading results are found to be in accordance with the principle of partitioning the difficulty gradient based on area.This study explores an effective method for grading the difficulty of auditory training sentences,ensuring that the training content matches the level of the trainer's competence.This not only enhances the training effectiveness but also improves the overall user experience.
作者
赵宵颖
崔爱磊
陈静
王媛
王硕
ZHAO Xiaoying;CUI Ailei;CHEN Jing;WANG Yuan;WANG Shuo(Beijing Tongren Hospital,Capital Medical University,Key Laboratory of Otolaryngology Head and Neck Surgery(Capital Medical University),Ministry of Education,Beijing Institute of Otolaryngology,Beijing,100730,China)
出处
《中国耳鼻咽喉头颈外科》
2025年第6期376-380,共5页
Chinese Archives of Otolaryngology-Head and Neck Surgery
基金
高层次公共卫生技术人才建设项目(学科骨干-02-42)
首都卫生发展科研专项项目(首发2024-1-1091)
北京市自然科学基金面上项目(7252010)。
关键词
老年人
听力损失
老年性聋
言语识别测验
老年人听觉言语交流能力训练系统
听觉训练语料库
言语识别率
Aged
Hearing Loss
Presbycusis
Speech Discrimination Tests
Auditory-verbal Communication Training System for Older Adults
The Auditory Training Corpus
Speech Recognition Rate
