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Development and evaluation of Tamil Matrix Sentence Test Performance in young adults
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.
Codas
|September 20, 2023
Summary
The Tamil Matrix Sentence Test (TMST) is a new tool for assessing speech identification in Tamil speakers. It demonstrates acoustical list equivalency and saturation in performance-intensity functions.
Area of Science:
- Audiology
- Speech-Language Pathology
- Linguistics
Background:
- Speech identification tests are crucial for assessing hearing abilities.
- Developing culturally and linguistically appropriate tests is essential for accurate diagnosis.
- The Tamil language requires specific test materials for evaluating speech perception.
Purpose of the Study:
- To develop the Tamil Matrix Sentence Test (TMST).
- To evaluate the performance of young adults with normal hearing on the TMST.
- To obtain a performance-intensity (PI) function using the developed sentences.
Main Methods:
- Developed TMST using a 50-word base matrix with fixed sentence structure (noun, number, adjective, object, verb).
- Created 30 lists of 10 sentences each for the TMST.
- Assessed list equivalency in 60 normal-hearing young adults and PI function in 20 normal-hearing young adults across varying intensities (20-100 dB HL).
Main Results:
- The 30 TMST lists demonstrated acoustic equivalence.
- Some lists showed significant score differences.
- Performance-intensity function revealed performance saturation beyond 40 dB HL.
Conclusions:
- The TMST is suitable for evaluating speech identification in Tamil-speaking individuals.
- Multiple equivalent lists facilitate retesting without practice effects.
- The PI function provides insights into speech recognition dynamics in noise.
