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Analysing the correspondence between automatic prosodic segmentation and syntactic structure

机译:分析自动韵律分割与句法结构的对应关系

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Prosody and syntax are highly related, even if the prosodic structure cannot be directly mapped to the syntactic one and vice versa. This paper presents an experiment for exploring in what degree a powerful HMM-based automatic prosodic segmentation tool can recover the syntactic structure of an utterance in speech understanding systems. Results show that the approach is capable of recalling up to 92% of syntactic clause boundaries and up to 71 % of embedded syntactic phrase boundaries based on the detection of phonological phrases. Recall rates do not depend further on the syntactic level (whether the phrase is multiply embedded or not), but clause boundaries can be well separated from lower level syntactic phrases based on the type of the aligned phonological phrase(s). These findings can be exploited in speech understanding systems, allowing for the recovery of the skeleton of the syntactic structure, based purely on the speech signal.
机译:即使韵律结构不能直接映射到句法结构,反之亦然,韵律和语法是高度相关的。本文提出了一个实验,以探索基于HMM的强大自动韵律分割工具可以在多大程度上恢复语音理解系统中话语的句法结构。结果表明,基于语音短语的检测,该方法能够调用多达92%的句法从句边界和多达71%的嵌入式句法边界。回忆率不进一步取决于语法级别(无论该短语是否被多重嵌入),但是根据对齐的语音短语的类型,子句边界可以与较低级别的语法短语很好地分开。这些发现可以在语音理解系统中加以利用,从而可以完全基于语音信号来恢复语法结构的骨架。

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