Deep learning speech enhancement in satellite radio communication
Clarity and intelligibility are critical aspects of speech. Deep learning models for speech enhancement uses different algorithms to improve the speech quality significantly before reaching the listener. Machine learning knowledge is crucial in generating models to predict the outcome of the s...
Saved in:
Main Author: | Low, Yuki Yu Jun |
---|---|
Other Authors: | Arokiaswami Alphones |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/157874 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Deep learning for speech synthesis
by: Duan, Yue
Published: (2022) -
Deep learning-based spectrum sensing in cognitive radio
by: Chng, Li Shuang
Published: (2023) -
Non-reference speech quality assessment based on deep learning
by: Fang, Xuhui
Published: (2023) -
Deep reinforcement learning for physical layer security enhancement in energy harvesting based cognitive radio networks
by: Lin, Ruiquan, et al.
Published: (2023) -
Deep learning for communication signal classification
by: Lim, Wycliff Wei Zhi
Published: (2022)