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Towards the generation of dialogue acts in socio-affective ECAs: a corpus-based prosodic analysis

机译:走向社会情感性ECA中对话行为的产生:基于语料库的韵律分析

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We present a corpus-based prosodic analysis with the aim of uncovering the relationship between dialogue acts, personality and prosody in view to providing guidelines for the ECA Greta's text-to-speech system. The corpus used is the SEMAINE corpus, featuring four different personalities, further annotated for dialogue acts and prosodic features. In order to show the importance of the choice of dialogue act taxonomy, two different taxonomies were used, the first corresponding to Searle's taxonomy of speech acts and the second, inspired by Bunt's DIT++, including a division of directive acts into finer categories. Our results show that finer-grained distinctions are important when choosing a taxonomy. We also show with some preliminary results that the prosodic correlates of dialogue acts are not always as cited in the literature and prove more complex and variable. By studying the realisation of different directive acts, we also observe differences in the communicative strategies of the ECA depending on personality, in view to providing input to a speech system.
机译:我们提出基于语料库的韵律分析,旨在揭示对话行为,性格和韵律之间的关系,以期为ECA Greta的文本转语音系统提供指导。使用的语料库是SEMAINE语料库,具有四种不同的性格,并进一步标明了对话行为和韵律特征。为了表明选择对话行为分类法的重要性,使用了两种不同的分类法,第一种分类法对应于Searle的言语行为分类法,第二种方法是受邦特DIT ++的启发,包括将指示行为划分为更细的类别。我们的结果表明,在选择分类法时,细粒度的区别很重要。我们还通过一些初步结果表明,对话行为的韵律关联并不总是如文献中所引用的那样,并且证明更为复杂和可变。通过研究不同指令行为的实现,我们还观察了ECA取决于人格的沟通策略的差异,以期为语音系统提供输入。

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