论文标题
基于云的自动语音识别系统的东南亚语言
Cloud-based Automatic Speech Recognition Systems for Southeast Asian Languages
论文作者
论文摘要
本文总体介绍了我们针对东南亚语言的自动语音识别系统（ASR）系统。由于对此类区域语言的现有工作没有太多的工作，因此在构建系统之前应解决一些困难：言语和文本资源的限制，缺乏语言知识等。这项工作以印度尼西亚和泰语为例，以说明收集构建ASR系统所需的各种资源的策略。
This paper provides an overall introduction of our Automatic Speech Recognition (ASR) systems for Southeast Asian languages. As not much existing work has been carried out on such regional languages, a few difficulties should be addressed before building the systems: limitation on speech and text resources, lack of linguistic knowledge, etc. This work takes Bahasa Indonesia and Thai as examples to illustrate the strategies of collecting various resources required for building ASR systems.
