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| 普通话言语测听材料的智能化研究 | |
| 引用本文： | 张华,王硕,陈静,邓军民,杨小林,郭连生,赵小燕,邵广宇,韩德民.普通话言语测听材料的智能化研究[J].中华耳鼻咽喉头颈外科杂志,2008,43(6):406-408. |
| 作者姓名： | 张华 王硕 陈静 邓军民 杨小林 郭连生 赵小燕 邵广宇 韩德民 |
| 作者单位： | 1. 北京市耳鼻咽喉科研究所耳鼻咽喉头颈科学教育部重点实验室,首都医科大学附属北京同仁医院耳鼻咽喉头颈外科,100005 2. 首都医科大学生物医学工程学院 3. 首都医科大学燕京医学院 |
| 基金项目： | 国家自然科学基金，首都医学发展科研项目 |
| 摘 要： | 目的 应用计算机软件编制出性能稳定可靠、操作简便、智能的普通话言语测听系统,并对其进行临床验证.方法 利用Cool Edit Pro v2.1专业音频软件,对具有等价性的普通话言语测听材料的CD音频进行数字化无损分割,采用Delphi编程语言在计算机中实现言语测听智能系统.最后经过听力计放大输出,在隔声室(双室)中进行测试.测试55例耳科正常人的7张单音节词表识别率,应用SPSS统计软件对词表等价性进行分析,验证智能系统的可行性.结果 计算机智能系统测试方法中,测试表间的差异不具有统计学意义(F=1.582,P>0.05),由此得知7张单音节词表之间具有良好的等价性.结论 该智能测听系统初步具有临床应用的可行性. |
| 关 键 词： | 测听法 纯音 人工智能 语音学 |
Computer assisted application of mandarin speech test materials |
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| ZHANG Hua,WANG Shuo,CHEN Jing,DENG Jun-min,YANG Xiao-lin,GUO Lian-sheng,ZHAO Xiao-yan,SHAO Guang-yu,HAN De-min.Computer assisted application of mandarin speech test materials[J].Chinese JOurnal of Otorhinolaryngology Head and Neck Surgery,2008,43(6):406-408. | |
| Authors: | ZHANG Hua WANG Shuo CHEN Jing DENG Jun-min YANG Xiao-lin GUO Lian-sheng ZHAO Xiao-yan SHAO Guang-yu HAN De-min |
| Institution: | Beijing Tongren Hospital, Beijing Institute of Otorhinolaryngology, Key Laboratory of Otolaryngology Head and Neck Surgery Capital Medical University, Beijing 100005, China. |
| Abstract: | OBJECTIVE: To design an intelligent speech test system with reliability and convenience using the computer software and to evaluate this system. METHODS: First, the intelligent system was designed by the Delphi program language. Second, the seven monosyllabic word lists recorded on CD were separated by Cool Edit Pro v2.1 software and put into the system as test materials. Finally, the intelligent system was used to evaluate the equivalence of difficulty between seven lists. Fifty-five college students with normal hearing participated in the study. RESULTS: The seven monosyllabic word lists had equivalent difficulty (F = 1.582, P > 0.05) to the subjects between each other and the system was proved as reliability and convenience. CONCLUSIONS: The intelligent system has the feasibility in the clinical practice. |
| Keywords: | Audiometry speech Artificial intelligence Phonetics |
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