7 citations · 7 across the 1 of their papers we have counts for
3 papers
eess.AS2020
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications
Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst
Auditory models are commonly used as feature extractors for automatic speech-recognition systems or as front-ends for robotics, machine-hearing and hearing-aid applications. Althou…
eess.AS2019★ 7 cited
Calibration and reference simulations for the auditory periphery model of Verhulst et al. 2018 version 1.2
Alejandro Osses Vecchi, Sarah Verhulst
This document describes a comprehensive procedure of how the biophysical model published by Verhulst et al. (2018) can be calibrated on the basis of reference auditory brainstem re…
cs.SD2018
Machines hear better when they have ears
Deepak Baby, Sarah Verhulst
Deep-neural-network (DNN) based noise suppression systems yield significant improvements over conventional approaches such as spectral subtraction and non-negative matrix factoriza…