Incorporating text information on presentation slides for spoken lecture retrieval

Kosuke Yamauchi, Tomoyoshi Akiba
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Abstract

In recent years, multimedia contents, such as audio and video data, have been increasing, and the search techniques for them are needed. Spoken content retrieval (SCR), which retrieves speech data using their transcription generated by an automatic speech recognition (ASR) system, has been widely studied. One of the challenges in SCR is how to deal with ASR errors found in the transcription. To alleviate the error effects, we propose to use the presentation slides along with the ASR results in the case of the retrieval targeting presentations taken place in an academic conference. We present three methods of using the presentation slides. We performed experiments on NTCIR-11 slide segmentation data set. In the results, we observed the significant improvement on the all proposed methods.
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结合演讲幻灯片的文本信息,用于口语讲座检索
近年来,多媒体内容,如音频和视频数据不断增加,需要对其进行搜索技术。语音内容检索(SCR)是一种利用自动语音识别系统生成的语音文本对语音数据进行检索的技术,目前已得到广泛的研究。SCR的挑战之一是如何处理转录中发现的ASR错误。为了减轻误差影响,我们建议在学术会议上进行检索目标演讲的情况下,将演示幻灯片与ASR结果一起使用。我们介绍了三种使用演示幻灯片的方法。我们在ntir -11玻片分割数据集上进行了实验。在结果中,我们观察到所有提出的方法都有显著的改进。
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