CI-ADDO-EN: Software Infrastructure for Temporal Modeling

CI-ADDO-EN：用于时间建模的软件基础设施

• 批准号: 0855230
• 负责人: Jeffrey Bilmes
• 金额: $ 69.13万
• 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: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0855230&HistoricalAwards=false
• 关键词: CI; ADDO; EN; Software; Infrastructure

This project is significantly enhancing available software infrastructure, the graphical models toolkit (GMTK), for graphical-model based time series modeling. While GMTK is currently widely used for speech recognition, the extensions being performed, however, are optimized not just for speech recognition but for all time-series applications. New infrastructure is also being developed that significantly enhances GMTK?s abilities, speed, documentation, source code availability, and pedagogical structure. This work will give to both the student and the researcher an enormous number of dynamic graphical model facilities. With its new features, GMTK will be able to perform computationally difficult time-series processing on extremely large and diverse data sets.

该项目显着增强了可用的软件基础设施，即图形模型工具包（GMTK），用于基于图形模型的时间序列建模。虽然 GMTK 目前广泛用于语音识别，但正在执行的扩展不仅针对语音识别而且针对所有时间序列应用进行了优化。新的基础设施也正在开发中，以显着增强 GMTK 的能力、速度、文档、源代码可用性和教学结构。这项工作将为学生和研究人员提供大量的动态图形模型工具。凭借其新功能，GMTK 将能够对极其庞大且多样化的数据集执行计算困难的时间序列处理。