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在年轻人中开发和评估泰米尔矩阵句子测试表现

Ramya Vaidyanath¹, Neethi Jesudass¹, Thaaranya Krishnamoorthy Achari¹

¹Faculty of Audiology and Speech Language Pathology, Sri Ramachandra Institute of Higher Education and Research - SRIHER (DU) - Chennai, Tamil Nadu, India.

|September 20, 2023

概括

泰米尔矩阵句子测试 (TMST) 是一种评估泰米尔语说者的语音识别的新工具. 它证明了声学列表等价性和性能强度函数中的和.

科学领域:

听力学听力学是指听力学.
语音语言病理学语言病理学
语言学的语言学.

背景情况:

语音识别测试对于评估听力能力至关重要.
开发文化和语言上适当的测试对于准确的诊断至关重要.
泰米尔语需要特定的测试材料来评估语音感知.

研究的目的:

开发泰米尔矩阵句子测试 (TMST).
在TMST上评估正常听觉的年轻成年人的表现.
使用开发的句子来获得性能强度 (PI) 函数.

主要方法:

开发TMST使用50个字的基础矩阵和固定的句子结构 (名词,数字,形容词,对象,动词).
为TMST创建了30个10个句子的列表.
在60名正常听觉的年轻成年人中评估了清单等价性,并在20名正常听觉的年轻成年人中评估了PI功能,其强度各不相同 (20-100dB HL).

主要成果:

30个TMST清单显示了声学等价性.
一些清单显示了显著的分数差异.
性能强度函数显示性能和超过40dB HL.

结论:

TMST适用于评估泰米尔语人士的语音识别.
多个同等清单有助于在没有实践影响的情况下进行重新测试.
该PI函数提供了关于噪音中的语音识别动态的见解.

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