Tag: machine-learning

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‘Unmasking’ Benefits for Hearing Aid Users in Challenging Listening Environments

During the COVID-19 pandemic, health and government officials are encouraging or even mandating community-wide face mask wearing to reduce potential pre-symptomatic or asymptomatic transmission of the virus to others. This practice, in combination with social distancing (ie, keeping >6 feet apart), has helped decrease spread of the virus, but it has also provided a barrier to clear, empathetic communication, particularly for those with hearing loss.

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Preserving the Temporal Envelope in Hearing Aid Processed Sounds

Temporal envelope and temporal fine structure cues are complementary in nature, and both are used by listeners in their communications. Hearing loss, as well as the etiology and configuration of the hearing loss, could affect the relative importance of each cue for the listeners in their appreciation and understanding of daily sounds. This article reviews the importance of cues related to the temporal envelope and presents results of a study that compares the Widex EVOKE system, which is designed in part to preserve and enhance the temporal envelope, with another premium hearing aid.

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