1 code implementation • 15 Mar 2024 • Peter Leer, Jesper Jensen, Zheng-Hua Tan, Jan Østergaard, Lars Bramsløw
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.
no code implementations • 15 Mar 2024 • Peter Leer, Jesper Jensen, Laurel Carney, Zheng-Hua Tan, Jan Østergaard, Lars Bramsløw
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.