有大量词汇外的自发对话识别

Hang-Seop Lee
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引用次数: 1

摘要

本文描述了一个朝鲜语自发语音识别系统,该系统是ETRI正在开发的语音到语音翻译系统的一部分。本系统的特点如下:首先,我们编译了两个大型的人对人对话数据库。用于系统训练和评估的语音数据库由两个任务域组成:预约调度域收集了339个对话,旅行规划域收集了535个对话。其次,不仅在无词汇外情况下评估识别性能,而且在词汇外情况下评估识别性能。从高OoV率的自发语音识别评价结果出发,针对韩语问题提出了解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spontaneous dialogue recognition with large out-of-vocabularies
This paper describes a Korean spontaneous speech recognition system that is part of a speech-to-speech translation system being developed in ETRI. The features of this system are as follows. First, we have compiled two large human to human dialog databases. The speech database used in training and evaluation of this system was composed of two task domains: 339 dialogs collected in appointment scheduling domain and 535 dialogs collected in the travel planning domain. Second, recognition performance was evaluated not only on no out-of-vocabulary (OoV) case but also on the OoV case. From the evaluation result of spontaneous speech recognition with high OoV rate, we addressed the problem of Korean language and proposed a solution.
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