A rule-based backchannel prediction model using pitch and pause information
A rule-based backchannel prediction model using pitch and pause information
复制标题
使用音高和暂停信息的基于规则的反向通道预测模型
DOI：
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发表时间：
2010
期刊：
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通讯作者：
D. Heylen
中科院分区：
文献类型：
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作者：
K. Truong;R. Poppe;D. Heylen
我们手动设计规则的反向通道（BC）预测模型的基础上音高和停顿信息。简而言之，该模型预测当存在一定长度的停顿并且之前是下降或上升音调时的BC。该模型在基于语料库的评价方法中对荷兰IFADV语料库进行了验证。结果表明，我们的模型比另一个著名的基于规则的BC预测模型（仅使用音高信息）的性能略好。我们观察到，BC之前的停顿的长度是该模型中的重要特征之一，仅次于话语结束时的音高斜率的持续时间。此外，我们讨论了基于语料库的方法BC预测评估的影响。
We manually designed rules for a backchannel (BC) prediction model based on pitch and pause information. In short, the model predicts a BC when there is a pause of a certain length that is preceded by a falling or rising pitch. This model was validated against the Dutch IFADV Corpus in a corpus-based evaluation method. The results showed that our model performs slightly better than another well-known rule-based BC prediction model that uses only pitch information. We observed that the length of a pause preceding a BC is one of the important features in this model, next to the duration of the pitch slope at the end of an utterance. Further, we discuss implications of a corpus-based approach to BC prediction evaluation.