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首页> 外文会议>Annual conference of the International Speech Communication Association;INTERSPEECH 2011 >Applying Rhythm Features to Automatically Assess Non-Native Speech
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Applying Rhythm Features to Automatically Assess Non-Native Speech

机译：应用节奏功能自动评估非母语语音

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摘要

Speech rhythm measurements have been used in a limited number of previous studies on automated speech assessment, an approach using speech recognition technology to judge non-native speakers' proficiency levels. However, one of the most problematic issues of these previous studies is a lack of a comparison of these rhythm features with other effective non-rhythm features found in decade-long previous research. In this paper, we extracted both non-rhythm and rhythm features and compared them with respect to their performances to predict proficiency scores rated by humans. We show that adding rhythm features significantly improves the performance of the scoring model based only on non-rhythm features.
机译：语音节奏测量已用于自动语音评估的有限数量的先前研究中，这是一种使用语音识别技术来判断非母语使用者水平的方法。然而，这些先前研究中最有问题的问题之一是缺乏对这些节奏特征与长达十年的先前研究中发现的其他有效非节奏特征的比较。在本文中，我们提取了非节奏和节奏特征，并将它们与它们的表现进行比较，以预测人类评分的熟练程度得分。我们显示，添加节奏特征可显着提高仅基于非节奏特征的评分模型的性能。

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