幼儿教育设置中的自动哭泣检测

P. Ruvolo, J. Movellan
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引用次数: 28

摘要

我们展示了一种新的机器学习方法在自然环境中学习听觉情绪的结果[1],用于检测学龄前教室的哭泣事件。由此产生的系统达到了接近人类编码人员的性能水平,并且也显著优于先前解决该问题的方法[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic cry detection in early childhood education settings
We present results on applying a novel machine learning approach for learning auditory moods in natural environments [1] to the problem of detecting crying episodes in preschool classrooms. The resulting system achieved levels of performance approaching that of human coders and also significantly outperformed previous approaches to this problem [2].
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