Detection of Input-Difficult Words by Automatic Speech Recognition for PC Captioning
Detection of Input-Difficult Words by Automatic Speech Recognition for PC Captioning
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通过 PC 字幕的自动语音识别来检测输入困难的单词
DOI：
10.1007/978-3-319-94277-3_32
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Kanamori Shinji
中科院分区：
文献类型：
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作者：
Takeuchi Yoshinori;Kojima Daiki;Sano Shoya;Kanamori Shinji
听力障碍学生通常需要补充技术来帮助他们理解大学讲座。一些大学已经使用电脑字幕。字幕员有时会在讲座中不准确地输入不熟悉的技术术语和专有名词。我们将这些单词称为“输入困难单词（IDW）”。在这项研究中，我们通过使用我们大学的真实讲座来评估性能检测 IDW。我们提出了一种从讲座材料中自动提取 IDW 的方法。我们进行了一项实验，通过改变语言模型的插值权重来测量讲座中检测性能的 IDW。在这个实验中，我们使用了四个真实的讲座。达到了 0.889 的高 F 测量值。
Hearing-impaired students often need complementary technologies to assist them in understanding college lectures. Several universities already use PC captioning. Captionists sometime input unfamiliar technical terms and proper nouns in a lecture inaccurately. We call these words “input-difficult words (IDWs).” In this research, we evaluate performance-detecting IDWs by using real lectures from our university. We propose a method to automatically extract IDWs from lecture materials. We conducted an experiment to measure performance-detecting IDWs from lectures by changing the interpolation weight of the language model. In this experiment, we used four real lectures. A high F-measure of 0.889 was achieved.