Selected Publications & Articles

Deep Learning-Based Background Noise Classification and Reduction for Audio Enhancement

On Review
Rakibul Islam, Rashik Rahman — Undergraduate Thesis, UAP, 2023
University of Asia Pacific
2023
Proposed novel deep learning models for classifying and reducing background noise in audio signals for communication. Methods include CNNs and RNNs with real-world data. The research focuses on improving audio quality in various environments through advanced machine learning techniques.
Deep Learning
Audio Processing
Noise Classification
CNN
RNN
Audio Enhancement