MIT 6.S191 - Automatic Speech Recognition

This course on Automatic Speech Recognition aims to teach learners how Rev.com utilizes human-in-the-loop and deep learning to develop an advanced English speech recognition engine. The course covers topics such as data selection, speech input, subword units, encoder-decoder models, attention-based ASR, connectionist temporal classification, and language models. The teaching method involves lectures and potentially lab materials. This course is intended for individuals interested in deep learning, speech recognition, and artificial intelligence.