Tag: fine-tuning

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AI Assistant Improves Both Wearer Outcomes and Clinical Efficiency

To investigate the benefits of an AI assistant to support the individualization of hearing aid fittings, 58 hearing aid wearers were surveyed. The results showed Signia Assistant is perceived as easy to use and improves the fitting for individual wearers in difficult listening situations. Further, it increases the clinician’s ability to optimize the fitting more accurately to the individual and strengthens the provider-wearer relationship.

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SoundSense Learn—Listening Intention and Machine Learning

SoundSense Learn is a feature that uses machine learning to apply user input for easy and efficient optimization of hearing aid parameters. This article describes a test in a double-blind paradigm with recordings made of individual SoundSense Learn parameter settings. Significant increases in sound quality and comfort were found when compared to both the Not Active and Active Classifier conditions. The feature consistently improved sound quality and listening comfort across all test samples.

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