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

是什么帮助我们仅仅根据人们的言语来识别他们？ 语音信号中是否存在一些特性，可以帮助我们识别那些试图隐藏身份的人？ 在美国国家科学基金会的支持下，Carol Espy-Wilson博士将进行研究来回答这些问题，并开发自动算法，从语音信号中可靠地提取特定于说话者的信息。 这项研究将汇集来自言语产生和言语感知的知识。 该项目更广泛的影响包括应用于各种语言障碍的诊断工具，语音训练辅助工具的开发，个性化人机交互的开发，语音识别以及对发音声学映射的更深入理解。该项目通过进一步发展马里兰州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。

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.