MASR is a speech recognition framework implementing CTC and attention-based decoding strategies including greedy search, prefix beam search, and attention rescoring. It supports multiple preprocessing features like fbank and mfcc, and various data augmentation techniques. The project targets deployment on servers, Nvidia Jetson devices, and plans to support mobile platforms.