Modeling Disfluencies in Spontaneous Speech

模拟自发言语的不流畅

• 批准号: 9314967
• 负责人: Elizabeth Shriberg
• 金额: $ 68.97万
• 依托单位: SRI International
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-03-15 至 1998-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9314967&HistoricalAwards=false
• 关键词: Modeling; Disfluencies; Spontaneous; Speech

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.

拟议的项目考虑研究的假设，即不流利的自发讲话-停顿，重复的话， 修复，填充停顿，单词 碎片， 和延长的片段-远非随机的，关于它们的规律性的知识将揭示人类认知的各个方面。 并为自然语音处理中处理它们提供了原则性的方法。 这项工作涉及到几个相关的学科，如人机 互动， 语言学， 心理语言学、计算语言学、韵律学和语音技术。 多学科的方法包括调查的形式和分布的不流利在许多语料库，进行知觉实验，以评估信号中的特定线索的显着性，并开发和评估新的方法，自动处理的语音。