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Found 2 papers, 1 papers with code
How to train your ears: Auditory-model emulation for large-dynamic-range inputs and mild-to-severe hearing losses
Our results show that this new optimization objective significantly improves the emulation performance of deep neural networks across relevant input sound levels and auditory-model frequency channels, without increasing the computational load during inference.
Neural Networks Hear You Loud And Clear: Hearing Loss Compensation Using Deep Neural Networks
In this study, we propose a DNN-based approach for hearing-loss compensation, which is trained on the outputs of hearing-impaired and normal-hearing DNN-based auditory models in response to speech signals.
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