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.

中文翻译：

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EasyASR：用于端到端自动语音识别的分布式机器学习平台

我们展示了 EasyASR，这是一个分布式机器学习平台，用于训练和服务大规模自动语音识别 (ASR) 模型，以及大规模收集和处理音频数据。我们的平台建立在阿里云人工智能机器学习平台之上。它的主要功能是支持分布式 GPU 集群上端到端 ASR 模型的高效学习和推理。它允许用户通过简单的用户界面学习具有预定义或用户自定义网络架构的 ASR 模型。在 EasyASR 上，我们在几个公共数据集上为普通话语音识别产生了最先进的结果。