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

CI-P：协作研究：语音识别虚拟厨房这个项目提供了一个“厨房”环境，以促进社区共享研究技术，促进创新实验，并提供可靠的语音自动识别参考系统，作为教育、研究和评估的工具。研究基础架构围绕可轻松重新配置和共享的虚拟机(VM)构建。我们将虚拟机比作“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)、“配料”(口语数据)以及“菜肴”(使用日志文件进行的完整实验以供参考)。该规划项目让社区参与解决以前阻碍跨社区共享努力的一些问题，包括分发方法和知识产权问题。该项目还提供了一个示例体系结构，作为社区范围讨论的焦点。在更广泛的影响方面，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，基础设施可能可用于其他数据密集型领域(合成、对话系统、自然语言处理、计算机视觉、数据挖掘)。通过为ASR研究中的研究、教育和评估提供一个永久的、公开可用的资源，我们可以更好地培养下一代本科生和研究生。“厨房”使他们可以轻松地访问大量最先进的实现，并促进更深入的算法分析和更好的跨系统比较。

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