Workshops on NASA Apollo Mission Audio as a Community Research Resource

人类团队合作解决复杂问题的能力依赖于有效的沟通，通常依赖于语音沟通。不幸的是，在语音和语言处理的研究，以及人为因素和心理学的解决问题和团队动力学的自然团队/面向任务的通信的可用性今天不存在。该项目将涉及组织一系列小型讲习班，以推动未来社区资源的开发，该资源基于数百名阿波罗任务工作人员多年来收集的第一批大量自然数据，这些数据解决了人类最大的挑战之一-将人送上月球并安全返回地球。这个未来的社区资源将有利于跨越技术，科学，教育和技术历史的研究社区。一个明显的额外好处是保留了1000名科学家，工程师和技术人员的声音，他们使人类最伟大的技术成就之一成为可能。该项目将举办小型研讨会，收集研究社区的意见，以开发第一个大型自然音频数据社区资源，该资源来自数百名参与阿波罗任务的个人，跨越多年。这个语料库，称为FEARLESS STEPS，是由于以前的NSF奖项而创建的，代表了一个真实世界，多学科，解决问题的通信语料库，是真实的，而不是模拟的。从这些小型研讨会收集的反馈将告知创建社区用户当前需求和未来社区资源需求的原始语料库的团队。这些小型讲习班将包括在下列地点组织的活动：（一）国际空间语言协会INTERSPEECH-19;（二）美国国会图书馆（音频保存日）;（三）阿萨-19声学学会;（四）美国航天局人类活动会议;（五）教育/历史学家访问。小型讲习班的技术目标是：㈠举办社区外联小型讲习班，收集科学和技术界以及历史和教育领域的反馈意见; ㈡建立一个收集和分析研究界反馈意见的平台;及（iii）提供基础设施支援，以开发无畏步伐阿波罗音频装置的范例，供在工作坊/会议上分享，以继续向社区推广。今天语音和语言技术的研究进展依赖于先进的机器学习概念，这需要大量的音频数据来训练有效的模型，并且学术界必须能够获得大量的音频数据，这些数据是自然的，真实世界的，多说话者的，任务导向的，该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准。

The ability for human teams to work collaboratively together to solve complex problems relies on effective communications, typically relying on vocal communications. Unfortunately, the availability of naturalistic team/task-oriented communications for research in speech and language processing, as well as human factors and psychology for problem solving and team dynamics does not exist today. This project will involve the organization of a series of mini-workshops to advance the development of a future community resource based on the first massively large corpus of naturalistic data spanning years from hundreds of individuals working on Apollo missions, which solved one of humanity's greatest challenges -- placing a man on the moon and returning him to Earth safely. This future community resource will benefit research communities spanning technology, science, education, and history of technology. A clear added benefit is the preservation of the voices of 1000's of scientists, engineers, and technicians who made one of humanity's greatest technical achievements possible. This project will conduct mini-workshops to collect research community input for the development of the first massively large community resource of naturalistic audio data spanning years from hundreds of individuals working on Apollo missions. This corpus, called FEARLESS STEPS, was created as a result of a previous NSF award and represents a real-world, multi-subject, problem-solving communications corpus that is real and not simulated. The collected feedback from these mini-workshops will inform the team that created the original corpus of the community users' current needs and requirements for the future community resource. These mini-workshops would include events organized at: (i) ISCA INTERSPEECH-19, (ii) U.S. Library of Congress (Audio Preservation Day), (iii) ASA-19 Acoustical Society, (iv) NASA Human Performance Meeting, and (v) Education/Historian visits. The technical goals of the mini-workshops are: (i) conducting community outreach mini-workshops to collect feedback from the science and technology communities, as well as those in historical and educational domains; (ii) developing a platform for collecting and analyzing feedback from the research community; and (iii) providing infrastructure support to develop example FEARLESS STEPS Apollo audio sets to be shared at workshop/meetings for continued community outreach. Research advancements today in speech and language technology rest on advanced machine learning concepts, which require extensive audio data for training effective models, and it is imperative that the academic community have access to massive audio data which is naturalistic, real-world, multi-speaker, task directed, and freely available to all.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.