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SPEECH RECOGNITION AND INFORMATION RETRIEVAL: EXPERIMENTS IN RETRIEVING SPOKEN DOCUMENTS

机译:语音识别和信息检索:获取口述文件的实验

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The Informedia Digital Video Library Project at Carnegie Mellon University is making large corpora of video and audio data available for full content retrieval by integrating natural language understanding, image processing, speech recognition and information retrieval. Information retrieval of from corpora of speech recognition output is critical to the project's success. In this paper, we outline how this output is combined information from other modalities to produce a successful interface. We then describe experiments that compare retrieval effectiveness on spoken and text documents and investigate the sources of retrieval errors on the former. Finally we investigate how improvements in speech recognizer accuracy may affect retrieval, and whether retrieval will still be effective when larger spoken corpora are indexed.
机译:卡内基梅隆大学的Informedia数字视频图书馆项目通过整合自然语言理解,图像处理,语音识别和信息检索功能,使大量的视频和音频数据集可用于全部内容检索。从语音识别输出的语料库中检索信息对于项目的成功至关重要。在本文中,我们概述了如何将此输出与其他模式的信息组合起来以产生成功的界面。然后,我们将描述比较口语和文本文档检索效率的实验,并研究前者检索错误的来源。最后,我们研究了语音识别器准确性的提高如何影响检索,以及在索引较大的语料库时检索是否仍然有效。

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