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Development of The RU Hub4 system

机译：RU Hub4系统的开发

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This paper describes preliminary development of a broadcast news transcribing system for this year's Hub4 evaluation. The recognition system uses CROWNS (developed at RU for the 1995 Hub3 tasks) with several modifications to handle the news programming task. Features such as model adaptation have been added to quickly provide acoustic models thought appropriate for the new task, even though the environment-dependent data are limited. The architecture of decoding is changed from one pass to multi-pass that can handle higher order language models more efficiently. Due to the short development period before evaluation, the preliminary system for this year's Hub4 test has produced a higher error rate than expected. In fact, its performance is found to be worse than our previous system when compared on the baselin broadcast speech. We have continued investigation since the test and performed diagnostic experiments. Results and error analysis are given in this report.
机译：本文介绍了针对今年Hub4评估的广播新闻记录系统的初步开发。识别系统使用CROWNS（在RU上为1995 Hub3任务开发），并进行了一些修改以处理新闻节目任务。添加了模型自适应等功能，即使环境相关数据有限，也可以快速提供适合于新任务的声学模型。解码的架构从一遍更改为多遍，可以更有效地处理高阶语言模型。由于评估前的开发周期短，因此今年Hub4测试的初步系统产生的错误率高于预期。实际上，与巴林广播语音相比，它的性能比我们以前的系统差。自测试以来，我们一直在进行调查，并进行了诊断实验。结果和错误分析在此报告中给出。

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