**Attention-based Speech Recognition**

In this competition you will work on a sequence-to-sequence conversion problem, in which you must
train attention-based (transformer) models to transduce speech recordings into word sequences, spelled out alphabetically. This competition is a part of Carnegie Mellon's Introduction to Deep Learning (11-785) course.