Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors
David A. Fabry, Achintya K. Bhowmik
Abstract
This article details ways that machine learning and artificial intelligence technologies are being integrated in modern hearing aids to improve speech understanding in background noise and provide a gateway to overall health and wellness. Discussion focuses on how Starkey incorporates automatic and user-driven optimization of speech intelligibility with onboard hearing aid signal processing and machine learning algorithms, smartphone-based deep neural network processing, and wireless hearing aid accessories. The article will conclude with a review of health and wellness tracking capabilities that are enabled by embedded sensors and artificial intelligence.
Topics & Concepts
Computer scienceIntelligibility (philosophy)Gateway (web page)Hearing aidApplications of artificial intelligenceArtificial neural networkSpeech processingHearing lossSpeech recognitionArtificial intelligenceMedicineAudiologyWorld Wide WebPhilosophyEpistemologyNoise Effects and ManagementHearing Loss and RehabilitationPhonocardiography and Auscultation Techniques