171 citations · 263 across the 11 of their papers we have counts for
3 papers · 1 filter
Personalization of Hearing Aid Compression by Human-In-Loop Deep Reinforcement Learning
Nasim Alamdari, Edward Lobarinas, Nasser Kehtarnavaz
Existing prescriptive compression strategies used in hearing aid fitting are designed based on gain averages from a group of users which are not necessarily optimal for a specific…
A Review of Multi-Objective Deep Learning Speech Denoising Methods
Arian Azarang, Nasser Kehtarnavaz
This paper presents a review of multi-objective deep learning methods that have been introduced in the literature for speech denoising. After stating an overview of conventional, s…
Improving Deep Speech Denoising by Noisy2Noisy Signal Mapping
Nasim Alamdari, Arian Azarang, Nasser Kehtarnavaz
Existing deep learning-based speech denoising approaches require clean speech signals to be available for training. This paper presents a deep learning-based approach to improve sp…