Bionic Organ of Precision Hearing: Deep Learning-Based Neural Network AIoT Approach for Noise Reduction in Next Generation Cochlear Implant
By using AIoT, our team prevents us all (surely old in the future) from self-isolation and dementia due to hearing loss. The performance of cochlear implant (CI) is kept stationary as 50 years ago (when invented) owing to difficulty listening in musical and noisy environment. This can be ascribed to distortion in loudness difference because of limit in microphone, and restricted resolution of electrode in CI. We propose a deep-learning based neural network AIoT approach for noise reduction. This bionic system of precision hearing simulates “cocktail party effect” of brain: to focus on target sound and filter others in noisy environment. We aim to advance next-generation CI and hearing aids to the level of a perfect kind of artificial organ.
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Technology maturity:Experiment stage
Exhibiting purpose:Display of scientific results
Trading preferences:Technical license/cooperation、Negotiate by self
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