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Automatic Understanding of ATC Speech

机译：自动理解ATC语音

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In this paper we make a critical revision of the state-of-the-art in automatic speech processing as applied to air traffic control. We present the development of a new ATC speech understanding system comparing its performance and advantages to previously published experiences. The system has innovative solutions such as detecting the air/ground language spoken by air traffic controllers in an international airport with two official languages and the ability to adapt to new situations by automatically learning stochastic grammars from data, eliminating the need to write expensive and eternally incomplete grammars. A relevant new feature is the use of a speech understanding module able to extract semantically relevant information from the transcription of the sentences delivered by the speech recognizers. Two main assessment objectives are pursued and discussed throughout the paper: the effects of human spontaneity and the lack of linguistic coverage in understanding performance. The potential of this technology, ways of improvement, and proposals for the future are also presented
机译：在本文中，我们对适用于空中交通管制的自动语音处理的最新技术进行了重要的修订。我们介绍了新的ATC语音理解系统的开发情况，并将其性能和优势与以前发布的经验进行了比较。该系统具有创新的解决方案，例如在国际机场以两种官方语言检测空中交通管制员所说的空中/地面语言，并具有通过自动从数据中学习随机语法来适应新情况的能力，从而无需编写昂贵的代码并永久使用不完整的语法。一个相关的新功能是使用语音理解模块，该模块能够从语音识别器传递的句子的转录中提取语义上相关的信息。在本文中，我们追求并讨论了两个主要的评估目标：人类自发性的影响以及缺乏理解理解的语言能力。还介绍了该技术的潜力，改进方法以及对未来的建议

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