Applicability and Normative Data for an Arabic Matrix Sentence Test for Speech Recognition in Noise

Area of Science:

• Audiology
• Speech-language pathology
• Linguistics

Background:

• Development of a matrix sentence test in Modern Standard Arabic (MSA) using a multicenter approach.
• Normative values were established across four study sites in the Persian Gulf region.
• Comparison of test characteristics with existing matrix sentence tests.

Purpose of the Study:

• To develop and validate a matrix sentence test for Modern Standard Arabic (MSA).
• To obtain normative data for speech recognition thresholds (SRTs) in native Arabic-speaking adults with normal hearing.
• To ensure the test material is acceptable and comparable to international standards.

Main Methods:

• Involved 41 native Arabic-speaking adults with normal hearing.
• Speech intelligibility scores were analyzed to optimize word materials and verify test list equivalence.
• Normative speech recognition thresholds (SRTs) were obtained using adaptive testing.

Main Results:

• Optimized test material yielded equivalent lists with a mean SRT of -7.2 ± 0.2 dB SNR.
• The slope at SRT was measured at 13.3 ± 1.1%/dB.
• A training effect consistent with other language matrix tests was observed.

Conclusions:

• The Arabic matrix sentence test demonstrates homogeneity in words and lists.
• It provides reproducible and efficient speech recognition data for Arabic speakers.
• The test achieves internationally comparable results for audiological evaluations.