4 citations · 6 across the 4 of their papers we have counts for
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cs.SD2023
Dynamic Processing Neural Network Architecture For Hearing Loss Compensation
Szymon Drgas, Lars Bramsløw, Archontis Politis +2
This paper proposes neural networks for compensating sensorineural hearing loss. The aim of the hearing loss compensation task is to transform a speech signal to increase speech in…
cs.SD2018★ 2 cited
Deep neural network based speech separation optimizing an objective estimator of intelligibility for low latency applications
Gaurav Naithani, Joonas Nikunen, Lars Bramsløw +1
Mean square error (MSE) has been the preferred choice as loss function in the current deep neural network (DNN) based speech separation techniques. In this paper, we propose a new…