Modeling Disfluencies in Spontaneous Speech

提议的项目考虑了以下假设的研究，即自发语音中的不流畅——停顿、重复单词、修复、填充停顿、单词片段和拉长的片段——远非随机的，并且关于它们的规律性的知识将揭示人类认知的各个方面，并为在自发语音处理中处理它们提供原则性的方法。几个相关的学科涉及到这方面的努力，如人机交互、语言学、心理语言学、计算语言学、韵律学和语音技术。多学科的方法包括研究语料库中不流畅的形式和分布，进行感知实验来评估信号中特定线索的显著性，以及开发和评估语音自动处理的新方法。

The proposed project considers research on the hypothesis that disfluencies in spontaneous speech - pauses, repeated words, repairs, filled pauses, word fragments, and elongated segments - are far from random and that knowledge about their regularity would shed light on aspects of human cognition and provide principled methods for dealing with them in spontaneous speech processing. Several relevant disciplines are involved in this effort such as human- computer interaction, linguistics, psycho-linguistics, computational linguistics, prosody, and speech technology. The multi-disciplinary approach includes investigating the forms and distribution of disfluencies across many corpora, conducting perceptual experiments to assess the saliency of specific cues in the signal, and developing and evaluating new methods for automatic processing of speech.