自动同声传译车间系统描述

Zecheng Li, Yue Sun, Haoze Li
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引用次数: 0

摘要

本文介绍了我们在NAACL2022第三届自动同声翻译研讨会上提交的系统。我们参与了中文音频->英文文本的汉英翻译方向。我们的语音转文本系统是一个管道系统,其中我们采用韵律特征进行音频分割,采用ASRT模型进行语音识别,采用STACL模型进行流文本翻译。为了翻译流文本,我们使用经过训练的wait-k策略来同时生成目标句子和源句子,但总是落后k个单词。我们提出了一个具有竞争力的同声翻译系统,在音频输入轨道中排名第三。代码将很快发布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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System Description on Automatic Simultaneous Translation Workshop
This paper describes our system submitted on the third automatic simultaneous translation workshop at NAACL2022. We participate in the Chinese audio->English text direction of Chinese-to-English translation. Our speech-to-text system is a pipeline system, in which we resort to rhymological features for audio split, ASRT model for speech recoginition, STACL model for streaming text translation. To translate streaming text, we use wait-k policy trained to generate the target sentence concurrently with the source sentence, but always k words behind. We propose a competitive simultaneous translation system and rank 3rd in the audio input track. The code will release soon.
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