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Systems and methods for determining predictive models of discourse functions

机译:确定话语功能预测模型的系统和方法

摘要

Techniques are provided for determining predictive models of discourse functions based on prosodic features of natural language speech. Inter and intra sentential discourse functions in a training corpus of natural language speech utterances are determined. The discourse functions are clustered. The exemplary prosodic features associated with each type of discourse function are determined. Machine learning, observation and the like are used to determine a subset of prosodic features associated with each type of discourse function useful in predicting the likelihood of each type of discourse function.
机译:提供了用于基于自然语言语音的韵律特征确定话语功能的预测模型的技术。确定自然语言语音训练的语料库中的句子间和句子内语篇功能。话语功能是聚类的。确定与每种类型的话语功能相关的示例性韵律特征。机器学习,观察等被用来确定与每种类型的话语功能相关联的韵律特征的子集,其在预测每种类型的话语功能的可能性中有用。

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