| 32 | | * Read three papers to understand audio preprocessing: 'Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems', 'AdvPulse: Universal, Synchronization-free, and Targeted Audio Adversarial Attacks via Sub-second Perturbations', and 'Enabling Fast and Universal Audio Adversarial Attack Using Generative Model' |
| | 32 | * Read three papers to understand audio preprocessing: 'Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems', 'Adv Pulse: Universal, Synchronization-free, and Targeted Audio Adversarial Attacks via Sub-second Perturbations', and 'Enabling Fast and Universal Audio Adversarial Attack Using Generative Model' |
| | 33 | |
| | 34 | == Week 6 == |
| | 35 | * Researched MFCC feature extraction |
| | 36 | * Worked on voice recognition model based on Google's Mini Speech Commands dataset and the convolutional neural network (CNN) architecture |
