Acoustic-Phonetic Knowledge and Speech Recognition

声学语音知识和语音识别

• 批准号: 0236707
• 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: 2003
• 资助国家: 美国
• 起止时间: 2003-04-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0236707&HistoricalAwards=false
• 关键词: Acoustic; Phonetic; Knowledge; Speech; Recognition

With National Science Foundation support, Dr. Carol Espy-Wilson will conduct three years of interdisciplinary research. This project combines knowledge and techniques from engineering, speech science, and computational linguistics to develop a robust automatic speech recognition system that works well for a large and diverse population. This project includes the development of (a) acoustic parameters that target the linguistic information in the speech signal, and (b) a new paradigm for recognition that integrates current speech knowledge with a powerful statistical framework. The knowledge-based speech recognition system serves as a model of the early stages of speech perception. Its development is a tool for understanding and coping with variation in speech that occurs within and across speakers due to differences in gender, age and emotional states. New insights will be gained in the areas of speech production, speech perception, and acoustic phonetics. Further, different components of the system can serve as speech analysis tools to be used in various applications including speech coding, automatic speech transcription, speech enhancement, and speech training aids for speech pathologists and their clients.

在国家科学基金会的支持下，卡罗尔·埃斯皮尔-威尔逊博士将进行为期三年的跨学科研究。这个项目结合了工程学、语音科学和计算语言学的知识和技术，开发了一个健壮的自动语音识别系统，可以很好地适用于大量和多样化的人群。该项目包括开发(A)针对语音信号中的语言信息的声学参数，以及(B)将当前语音知识与强大的统计框架相结合的新的识别范例。基于知识的语音识别系统作为语音感知的早期阶段的模型。它的发展是一种工具，用于理解和处理由于性别、年龄和情绪状态的差异而在说话者内部和说话者之间发生的语音变化。将在语音产生、语音感知和声学语音学领域获得新的见解。此外，系统的不同组件可以用作语音分析工具，以在各种应用中使用，包括语音编码、自动语音转录、语音增强以及语音病理学家及其客户的语音训练辅助。