Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
<p dir="ltr">Automatic speech recognition (ASR) and speech enhancement are essential tools in modern life, aiding not only in machine interaction but also in supporting individuals with hearing impairments. These processes begin with capturing speech in analog form and applying signa...
Saved in:
| Main Author: | Billel Essaid (22047578) (author) |
|---|---|
| Other Authors: | Hamza Kheddar (17337712) (author), Noureddine Batel (22047581) (author), Muhammad E. H. Chowdhury (14150526) (author) |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
by: Billel Essaid (22047578)
Published: (2024) -
Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures
by: Khatereh Mohammadi (17309662)
Published: (2024) -
An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise
by: Shams Nafisa Ali (17949191)
Published: (2023) -
Endoscopic‐Assisted Cochlear Implantation via a “Microfacial Recess”
by: Taseer F. Din (22045133)
Published: (2024) -
Balun LNA Thermal Noise Analysis and Balancing With Common-Source Degeneration Resistor
by: Mohammad Abubaker, Qusai
Published: (2020)