  We present EasyASR, a distributed machine learning platform for training and
serving large-scale Automatic Speech Recognition (ASR) models, as well as
collecting and processing audio data at scale. Our platform is built upon the
Machine Learning Platform for AI of Alibaba Cloud. Its main functionality is to
support efficient learning and inference for end-to-end ASR models on
distributed GPU clusters. It allows users to learn ASR models with either
pre-defined or user-customized network architectures via simple user interface.
On EasyASR, we have produced state-of-the-art results over several public
datasets for Mandarin speech recognition.
