3 papers
eess.SP2025
Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals
Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Md. Anik Hasan +1
Objective: Machine learning- and deep learning-based models have recently been employed in motor imagery intention classification from electroencephalogram (EEG) signals. Neverthel…
eess.SP2024
NeuroSleepNet: A Multi-Head Self-Attention Based Automatic Sleep Scoring Scheme with Spatial and Multi-Scale Temporal Representation Learning
Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Chandan Karmakar +2
Objective: Automatic sleep scoring is crucial for diagnosing sleep disorders. Existing frameworks based on Polysomnography often rely on long sequences of input signals to predict…
eess.AS2024
oboVox Far Field Speaker Recognition: A Novel Data Augmentation Approach with Pretrained Models
Muhammad Sudipto Siam Dip, Md Anik Hasan, Sapnil Sarker Bipro +2
In this study, we address the challenge of speaker recognition using a novel data augmentation technique of adding noise to enrollment files. This technique efficiently aligns the…