基于网络挖掘的语音相关症状和知识库

2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD) Pub Date : 2017-07-01 DOI:10.1109/SPED.2017.7990426

H. Teodorescu, D. Gogalniceanu

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引用次数: 2

摘要

我们报告了一组症状的首次发展，这些症状完全基于在互联网上收集的信息。此外，我们还制定了这样做的一般方法。第三，我们介绍了第一个系统的颞下颌障碍(TMD)的症状集，专门与语言有关，并提出了一套已知的定量参数来分析这些症状。

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Voice-related symptom and knowledge-bases using internet mining

We report the first development of a set of symptoms for a medical condition where the set of symptoms is based exclusively on information collected on the Internet. Also, we lay down a general method for doing so. Third, we introduce the first systematic set of symptoms for temporo-mandibular disorder (TMD) exclusively related to speech and suggest a set of known quantitative parameters for the analysis of these symptoms.

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2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)

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