This repo contains an end-to-end Automatic Speech Recognition (ASR) pipeline. The pipeline gets raw audio as input, extracts its feature vectors, runs them through a deep neural network and returns a predicted transcription of the spoken words in the audio. I have used a subset of LibriSpeech dataset to train and evaluate the ASR pipeline. LibriSpeech is a large corpus of English-read speech, designed for training and evaluating models for ASR. The dataset contains 1000 hours of speech derived from audiobooks. The full dataset is provided online.