Automatic_Speech_Recognition

Why we included this project

This repo is a compact end-to-end speech recognition implementation in TensorFlow, written so researchers and students can study how a complete ASR system is assembled. It spans the whole pipeline, from feature extraction for Timit, LibriSpeech, WSJ, and Mandarin corpora to sequence-to-sequence RNN encoders with attention, plus working DeepSpeech2 and layer-normalized RNN variants. Because it handles both English and Mandarin and ships data-preprocessing utilities, it is a solid starting point for learning to train a recognizer from raw audio instead of gluing together black-box cloud APIs. The code is older and tied to a specific TensorFlow version, so treat it as an educational blueprint and benchmark baseline rather than a production service.