How to Train Your Ears: Auditory-Model Emulation for Large-Dynamic-Range Inputs and Mild-to-Severe Hearing Losses
Author:
Affiliation:
1. Eriksholm Research Centre, Snekkersten, Denmark
2. Demant A/S, Smørum, Denmark
3. Department of Electronic Systems, Aalborg University, Aalborg Øst, Denmark
Funder
Innovationsfonden
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6570655/10304349/10473115.pdf?arnumber=10473115
Reference27 articles.
1. Biophysically-inspired end-to-end time-domain speech enhacement;Wen,2023
2. A Neural-Network Framework for the Design of Individualised Hearing-Loss Compensation
3. A comparative study of eight human auditory models of monaural processing
4. Computationally Efficient DNN-Based Approximation of an Auditory Model for Applications in Speech Processing
5. A parameter-conditional neural network framework for modelling parameterized auditory models;Bysted,2022
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