Pause-internal phonetic particles in speech communication

该项目旨在调查语音停顿中包含的语音粒子，如呼吸噪音或舌头咔哒声。与“充满停顿”中的填充词相比，这些助词在语音分析中很大程度上被忽略了。本课题的重点研究问题是：停顿和选定的停顿内部语音小品(PIPP)对口语中的语音编码和解码有何贡献？在对现有的跨语言、跨语体的语料库进行分析的基础上，辅以新的实验数据，我们计划提供一份关于PIPP的清单，并描述它们的语音特征和可能的交际功能。在语音产生领域，该项目将专注于PIPPS的声学表现，并在我们自己的数据中特别关注呼吸声学和呼吸运动学之间的关系。在言语感知领域，听力实验将通过操纵停顿和PIPP来解决处理和保持的简易性，以探索努力节约原则(Hypospeech)和清晰度原则(HyperSpeech)之间的相互作用。此外，合成语音将根据停顿和PIPP进行建模，并通过听力测试进行评估。

The project aims at investigating the phonetic particles contained in speech pauses, such as breath noises or tongue clicks. These particles have been largely neglected in phonetic analyses in contrast to fillers in "filled pauses". The key research question of the project is: What are the contributions of pauses and selected pause-internal phonetic particles (PIPPs) to the phonetic encoding and decoding in spoken language? Based on the analysis of existing speech corpora, across languages and speaking styles, and complemented by new experimental data, we plan to provide an inventory of PIPPs, along with descriptions of their phonetic characteristics and possible communicative functions. In the domain of speech production, the project will focus on the acoustic manifestations of PIPPs, with special attention to the relationship between breathing acoustics and breathing kinematics in our own data. In the domain of speech perception, listening experiments will address the ease of processing and retention, by manipulating pauses and PIPPs, to explore the interplay between the principles of economy of effort (hypospeech) and clarity (hyperspeech). In addition, synthetic speech will be modeled with respect to pauses and PIPPs, and evaluated by listening tests.