Speech Command Dataset Annotation for Audio Classification
Created a custom dataset of English words and spoken commands to train a speech recognition system. Collected, annotated, and organized audio samples with clear labeling for supervised learning. Applied preprocessing techniques (MFCC feature extraction) to ensure consistent quality across the dataset. The project included labeling and categorizing hundreds of audio samples for training, validation, and testing, with a focus on accuracy, consistency, and reproducibility.