The Development of Low-Level Speaker-Specific Information for Speaker Recognition

用于说话人识别的低级说话人特定信息的开发

• 批准号: 0519256
• 负责人: Carol Espy-Wilson
• 金额: --
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-10-01 至 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0519256&HistoricalAwards=false
• 关键词: Development; Low; Level; Speaker; Specific

What helps us to recognize people on the basis of their speech alone? Are there properties in the speech signal that will help us recognize people even if they are trying to conceal their identity? With support from the National Science Foundation, Dr. Carol Espy-Wilson will conduct research to answer these questions and to develop automatic algorithms that will reliably extract speaker-specific information from the speech signal. This research will bring together knowledge from speech production and speech perception. The broader impacts of this project include applications to diagnostic tools for various speech disorders, the development of speech training aids, the development of personalized human-computer interaction, speech recognition, and a deeper understanding of the articulatory-to-acoustic mapping. This project integrates research and education by furthering the development of speech-related courses at the University of Maryland at College Park, and providing opportunities for undergraduate and graduate students to participate in research.

是什么帮助我们仅仅根据一个人的语言来识别他？语音信号中是否存在一些特性，即使人们试图隐藏自己的身份，也能帮助我们识别他们？在国家科学基金会的支持下，卡罗尔·埃斯皮-威尔逊博士将进行研究，以回答这些问题，并开发自动算法，可靠地从语音信号中提取说话者特定的信息。这项研究将汇集语音产生和语音感知方面的知识。该项目的广泛影响包括应用于各种语言障碍的诊断工具，语言训练辅助工具的发展，个性化人机交互的发展，语音识别，以及对发音到声学映射的更深入理解。该项目通过进一步发展马里兰大学帕克分校的演讲相关课程，并为本科生和研究生提供参与研究的机会，将研究和教育结合起来。