Evaluating prosodic features for automated scoring of non-native read speech

K. Zechner, Xiaoming Xi, L. Chen
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引用次数: 12

Abstract

We evaluate two types of prosodic features utilizing automatically generated stress and tone labels for non-native read speech in terms of their applicability for automated speech scoring. oth types of features have not been used in the context of automated scoring of non-native read speech to date.
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评估非母语阅读语音自动评分的韵律特征
我们评估了两种类型的韵律特征,利用自动生成的重音和音调标签对非母语阅读语音进行自动语音评分的适用性。到目前为止,这两种类型的特征还没有被用于非母语读语音的自动评分。
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Applying feature bagging for more accurate and robust automated speaking assessment Towards choosing better primes for spoken dialog systems Accent level adjustment in bilingual Thai-English text-to-speech synthesis Fast speaker diarization using a high-level scripting language Evaluating prosodic features for automated scoring of non-native read speech
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