CAREER: A Graphical-Model Based Software Infrastructure for Speech Recognition Research and Education

职业：用于语音识别研究和教育的基于图形模型的软件基础设施

• 批准号: 0093430
• 负责人: Jeffrey Bilmes
• 金额: --
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-04-15 至 2007-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0093430&HistoricalAwards=false
• 关键词: CAREER; Graphical; Model; Based; Software

This is the first year funding of a 5-year continuing award. Current core speech recognition technology is inadequate in several important situations, where high error rates often render the technology unusable. This project will advance the state of the art through use of graphical models, a relatively new statistical technique comprising formal methods for reasoning about random processes, and sets of algorithms for making probabilistic data-driven decisions in computationally efficient ways. All existing statistical techniques used in automatic speech recognition (and many more) appear to be representable using graphical models; no other known abstraction has such a property. The PI will design and build new freely available open-source software for speech recognition research and education. This infrastructure will provide the tools needed to successfully investigate different graphical-model based speech recognition algorithms, and will include tools for both computing with a specified model and for searching for new ones. The infrastructure will be used for curriculum development at the University of Washington (both at the graduate and undergraduate level), and will be released, along with course materials, on the Internet for free use by anyone.

这是5年持续奖项的第一年资金。当前的核心语音识别技术在几种重要情况下不足，在这种情况下，高错误率通常使该技术无法使用。 该项目将通过使用图形模型来推动最新技术，这是一种相对较新的统计技术，其中包括用于推理随机过程的正式方法，以及用于以计算有效方式做出概率数据驱动决策的算法集。 自动语音识别中使用的所有现有统计技术（以及更多）似乎使用图形模型表示。 没有其他已知的抽象具有这样的特性。 PI将设计和构建新的可免费获得的开源软件，用于语音识别研究和教育。 该基础架构将提供成功研究不同基于图形模型的语音识别算法所需的工具，并将包括具有指定模型计算的工具以及用于搜索新的工具。 该基础设施将用于华盛顿大学（毕业生和本科级别）的课程开发，并将与课程材料一起在互联网上免费使用，以免费使用任何人。