Robust Knowledge Discovery from Parallel Speech and Text Sources

该项目的目标是通过大大增强语音识别技术，使信息检索系统能够处理基于语音的信息。PI的方法是将来自多种语言的文本和语音来源的故事集合对齐，并开发利用由此产生的并行性的方法。PI将改进声学和语言模型，并将开发迭代识别方法，以促进捕获驻留在文本和语音中的跨语言信息。美国之音以英语、希腊语和一种待定的第三种语言广播，将为本研究提供数据源。

The goal of this project is to enable information retrieval systems to handle speech-based information by considerably enhancing speech recognition technology. The PI's approach is to align collections of stories from text and speech sources in multiple languages, and to develop methods which exploit the resulting parallelism. The PI will improve acoustic and language models, and will develop iterative recognition methods to facilitate capture of cross-lingual information resident in text and speech. Voice-of-America broadcasts in English, Greek, and a third language to be determined, will provide the data source for this research.