CI-ADDO-NEW: Collaborative Research: The Speech Recognition Virtual Kitchen

CI-ADDO-NEW：协作研究：语音识别虚拟厨房

• 批准号: 1305319
• 负责人: Eric Fosler-Lussier
• 金额: $ 38.21万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1305319&HistoricalAwards=false
• 关键词: CI; ADDO; NEW; Collaborative; Research

The Speech Recognition Virtual Kitchen Performing successful research on end-to-end speech processing problems requires the integration of many individual tools (e.g. for data cleaning, acoustic model training, language modeling, data analysis, real-time audio, decoding, parsing, synthesis, etc.). It is difficult for new researchers to get started in the field, simply because a typical lab environment consists of a hodgepodge of tools suited to a particular computing set-ups. This environment is hard to recreate, because few people are experts in the theory and practice of all these fields, and can debug and replicate experiments from scratch. This research infrastructure project creates a "kitchen" environment based on Virtual Machines (VMs) to promote community sharing of research techniques, and provides solid reference systems as a tool for education, research, and evaluation. We liken VMs to a "kitchen" because they provide an environment into which one can install "appliances" (e.g., toolkits), "recipes" (scripts for creating state-of-the art systems using these tools), and "ingredients" (spoken language data). The kitchen even holds "reference dishes" in the form of complete experiments with baseline runs, log-files, etc., together with all that is needed to recreate and modify them. The project is developing a community and repository by (a) building pilot VMs, (b) engaging the community in using and continuing to develop them on its own, and (c) evaluating the impact of providing VMs for education and research. We envision researchers as well as students downloading a VM, reproducing the baseline experiment, implementing changes, posting their results in the community, discussing with other users who have worked on the same VM, merging improvements back into the VM, which get re-distributed, and finally publishing easily reproducible results. Work with curriculum and project development will support the creation of engaging activities to specifically encourage students at undergraduate and graduate levels.

语音识别虚拟厨房对端到端语音处理问题进行成功研究需要整合许多单个工具（例如，用于数据清洁，声学模型培训，语言建模，数据分析，实时音频，解码，解析，合成， ， ETC。）。新研究人员很难进入该领域，仅仅是因为典型的实验室环境由适合特定计算设置的工具组成。这种环境很难重现，因为很少有人是所有这些领域理论和实践的专家，并且可以从头开始调试和复制实验。该研究基础设施项目创建了一个基于虚拟机（VM）的“厨房”环境，以促进社区的研究技术共享，并提供可靠的参考系统作为教育，研究和评估的工具。我们将VMS比喻为“厨房”，因为它们提供了一个可以安装“设备”（例如工具包），“食谱”（用于使用这些工具创建最先进系统的脚本）和“成分”的环境。 （口语数据）。厨房甚至以基线运行，日志文件等的完整实验形式举行“参考菜肴”，以及重新创建和修改它们所需的一切。该项目正在通过（a）建筑飞行员VM，（b）与社区共同开发并继续自行开发社区的社区和存储库，以及（c）评估为教育和研究提供VM的影响。我们设想研究人员和学生下载VM，重现基线实验，实施变化，在社区中发布结果，与其他从事相同VM工作的用户进行讨论，并将改进的改进合并到VM中，并将其重新分发。 ，最后发布易于重现的结果。与课程和项目开发的合作将支持创建参与活动，以特别鼓励本科和研究生级别的学生。