Audiology services provided via connected health care

Use of air conduction thresholds to predict bone conduction asymmetry and air-bone gap

This study used machine learning methods to predict bone conduction abnormalities from air conduction pure tone audiometric thresholds.

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Preliminary evaluation of the Speech Reception Threshold measured using a new language-independent screening test as a predictor of hearing loss

We developed a new, automated, language-independent speech in noise screening test, we evaluated its performance in 150 subjects against the WHO criteria for slight/mild and moderate hearing loss, and we observed an accuracy >80%, with an area under the ROC curves equal to 0.83 and 0.89, respectively.

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Dynamically Masked Audiograms with Machine Learning Audiometry
Final masked AMLAG results for one participant (127) with a left cochlear implant and no residual hearing. Red diamonds denote unheard tones and blue pluses denote heard tones. The most intense tones at lower frequencies in the left ear were effectively masked.

Dynamically Masked Audiograms with Machine Learning Audiometry

Dynamically masked audiograms achieve accurate true threshold estimates and reduce test time compared to current clinical masking procedures.

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Aladdin: Automatic LAnguage-independent Development of the Digits-In-Noise test

The Automatic LAnguage-independent Development of the Digits-In-Noise test (Aladdin)-project aims to create a fully automatic test development procedure for digit-in-noise hearing tests in various languages and for different target populations.

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Speech recognition apps for the hearing impaired and deaf

Speech recognition software has become increasingly sophisticated and accurate due to progress in information technology. This project aims to examine the performance of speech recognition apps and to explore which audiological tests are a representative measure of the ability of these apps to convert speech into text.

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Computational Audiology: new ways to address the global burden of hearing loss
Source: https://www.stripepartners.com/our_writing_article/the-age-of-the-ear/

Computational Audiology: new ways to address the global burden of hearing loss

Computational audiology, the augmentation of traditional hearing health care by digital methods, has potential to dramatically advance audiological precision and efficiency to address the global burden of hearing loss.

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