Author: Stefani Kim

Empowering the Wearer: AI-based Signia Assistant Allows Individualized Hearing Care

Results of this study show the Signia Assistant smartphone app ensures the end-user safely gets the best possible solution for any given situation, marking an important step in going from assumption-based to data-driven knowledge—and moving away from a “one-size-fits-all approach” to precisely tuned hearing for each individual via artificial intelligence.

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What Is “Normal Hearing” for Older Adults and Can “Normal-hearing Older Adults” Benefit from Hearing Care Intervention?

Researcher and author Larry Humes, PhD, points out that large-scale studies have identified self-reported hearing difficulties as one of the strongest predictors of hearing aid uptake and use. He says this further reinforces the need for the older consumer and the hearing care professional to quantify the severity of hearing difficulties above and beyond those captured by the pure-tone audiogram.

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Real World Evidence on Gain and Output Settings for Individuals with Mild-to-Moderate Hearing Loss

Based on the audiograms of over 28,000 adults, this study shows that commercially-available hearing aids programmed according to parameters typical of those used for individuals with mild-to-moderate hearing loss yield output and gain levels that are well within the recommended limits (110 dB SPL output and 25 dB gain) specified by a recent Consensus Paper issued by the four national professional organizations representing hearing healthcare providers.

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Animal Vocalization May Show Origins of Human Speech Evolution

Some animals fake their body size by sounding ‘bigger’ than they actually are. Maxime Garcia from the University of Zurich and Andrea Ravignani from the Max Planck Institute for Psycholinguistics studied 164 different mammals and found that animals who lower their voice to sound bigger are often skilled vocalists.

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