2 papers
eess.AS2020
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…
eess.AS2019
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…