CI-P:Collaborative Research:The Speech Recognition Virtual Kitchen

CI-P：合作研究：语音识别虚拟厨房该项目提供了一个“厨房”环境，以促进社区共享研究技术，促进创新实验，并为自动识别语音提供可靠的参考系统，作为教育，研究和评估的工具。研究基础设施是围绕虚拟机（vm）构建的，虚拟机可以很容易地重新配置和共享。我们把虚拟机比作“厨房”，因为它们提供了环境基础设施，人们可以在其中安装“设备”（例如，语音识别工具包）、“食谱”（为工具包创建最先进的系统的脚本）和“配料”（口语数据），以及“菜肴”（带日志文件的完整实验）。规划项目让社区参与进来，解决以前阻碍跨社区共享的一些问题，包括分发方法和知识产权问题。该项目还提供了一个示例架构，作为社区范围内讨论的焦点。就更广泛的影响而言，该项目通过向INTERSPEECH2012研讨会提供旅行奖学金，吸引了通常不参与自动语音识别（ASR）研究的研究人员和教育工作者。在更广泛的范围内，基础结构可以用于其他数据密集型领域（合成、对话系统、NLP、计算机视觉、数据挖掘）。通过为ASR研究的研究、教育和评估提供一个永久的、公开的资源，我们可以更好地培养下一代本科生和研究生。“厨房”使他们能够轻松访问大量最先进的实现，并促进对算法的更深入分析和更好的跨系统比较。

CI-P:Collaborative Research: The Speech Recognition Virtual KitchenThis project provides a "kitchen" environment to promote community sharing of research techniques, foster innovative experimentation, and provide solid reference systems for automatically recognizing speech, as a tool for education, research, and evaluation. The research infrastructure is built around virtual machines (VMs), which can be reconfigured and shared easily. We liken the virtual machines to a "kitchen" because they provide the environmental infrastructure into which one can install "appliances" (e.g., speech recognition toolkits), "recipes" (scripts for creating state-of-the art systems for a toolkit), and "ingredients" (spoken language data), along with "dishes" (completed experiments with log-files for reference).The planning project engages the community to tackle some of the issues that have previously hampered efforts in cross-community sharing, including distribution methods and intellectual property issues. The project also provides an example architecture, which serves as a focus point for community-wide discussion.In terms of broader impacts, the project engages researchers and educators that typically do not participate in automatic speech recognition (ASR) research by providing travel scholarships to a workshop at INTERSPEECH2012. In a wider scope, the infrastructure may be useable by other data-intensive fields (synthesis, dialog systems, NLP, computer vision, data mining). By providing a permanent, publicly available resource for research, education, and evaluation in ASR research, we can better train the next generation of undergraduates and graduates. The "kitchen" gives them easy access to a large number of state-of-the-art implementations, and facilitates deeper analysis of algorithms and better comparisons across systems.