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arXiv cs/0309021cs.CL
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一个面向讲座视频的跨媒体检索系统

A Cross-media Retrieval System for Lecture Videos

Atsushi Fujii, Katunobu Itou, Tomoyosi Akiba, Tetsuya Ishikawa

摘要:

我们提出了一个跨媒体的讲座点播系统,在该系统中,用户可以选择性地查看特定的片段的讲座视频提交文本查询。用户可以很容易地制定查询使用与目标讲座相关联的教科书,即使他们不能拿出有效的关键字。我们的系统从一个目标讲座视频提取音轨,产生一个大词汇量连续语音识别转录,并产生一个文本索引。实验结果表明,通过适应语音识别的演讲主题,识别的准确率提高和检索的准确率是由人类转录获得的。

英文摘要:

We propose a cross-media lecture-on-demand system, in which users can selectively view specific segments of lecture videos by submitting text queries. Users can easily formulate queries by using the textbook associated with a target lecture, even if they cannot come up with effective keywords. Our system extracts the audio track from a target lecture video, generates a transcription by large vocabulary continuous speech recognition, and produces a text index. Experimental results showed that by adapting speech recognition to the topic of the lecture, the recognition accuracy increased and the retrieval accuracy was comparable with that obtained by human transcription.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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