Enhanced smart hearing aid using deep neural networks

Author:

Nossier Soha A.ORCID,Rizk M.R.M.,Moussa Nancy Diaa,el Shehaby Saleh

Publisher

Elsevier BV

Subject

General Engineering

Reference33 articles.

1. The 5-year incidence and progression of hearing loss: the epidemiology of hearing loss study;Cruickshanks;Arch. Otolaryngol. Neck Surg.,2003

2. Noise, amplification, and compression: considerations of three main issues in hearing aid design;Plomp;Ear Hear,1994

3. Speech enhancement: theory and practice;Loizou,2013

4. Deep learning;LeCun;Nature,2015

5. A regression approach to speech enhancement based on deep neural networks;Xu;IEEE/ACM Trans. Audio, Speech, Lang. Process.,2015

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1. A Novel Approach to Multi-Channel Speech Enhancement Based on Graph Neural Networks;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. A Deep Learning Speech Enhancement Architecture Optimised for Speech Recognition and Hearing Aids;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

3. Multi-target ensemble learning based speech enhancement with temporal-spectral structured target;Applied Acoustics;2023-03

4. A comprehensive overview of artificial intelligence and machine learning in education pedagogy: 21 Years (2000–2021) of research indexed in the scopus database;Social Sciences & Humanities Open;2023

5. Review on Recent Advances in Hearing Aids: A Signal Processing Perspective;Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences;2023

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