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Published on: September 17, 2021
Development and validation of the Italian digit-in-noise test
Pasquale Viola1, Alessia Astorina1, Antonio Mancuso2
1Unit of Audiology, Regional Centre of Cochlear Implants and ENT Diseases, Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.
A new Digits-In-Noise (DIN) test in Italian was validated for individual ear assessment. This speech test uses an adaptive algorithm for efficient and autonomous use on iOS devices.
Area of Science:
- Audiology
- Speech-language pathology
- Medical technology
Background:
- The Digits-In-Noise (DIN) test is a valuable tool for assessing speech recognition in noise.
- A validated Italian version of the DIN test is needed for clinical and research applications.
- Current assessment methods may not always allow for independent ear evaluation or efficient administration.
Purpose of the Study:
- To validate the Digits-In-Noise (DIN) test for the Italian language.
- To develop an Italian DIN test version capable of independently assessing both ears.
- To ensure the test maintains acceptable administration times for practical use.
Main Methods:
- Italian digits 0-9 were recorded and normalized for equal recognition probability.
- An iOS application (APP) was created for bilateral, independent ear testing using digit triplets in noise.
- A novel adaptive procedure was implemented to optimize the determination of Speech Reception Threshold (SRT).
Main Results:
- Normative data were established using 45 normal-hearing and 62 hearing-impaired individuals.
- The validated test achieved threshold values for normal hearing consistent with existing literature.
- Threshold values aligned with World Health Organization (WHO) hearing loss categories were identified.
Conclusions:
- A validated Italian Digits-In-Noise (DIN) test for individual ear SRT assessment has been developed.
- The adaptive algorithm optimizes test efficiency and duration for both ears.
- The test allows for autonomous administration via standard iOS devices (tablets/smartphones).
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