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

EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition