Speaker tracking across a massive naturalistic audio corpus: Apollo-11
Speaker tracking across a massive naturalistic audio corpus: Apollo-11
复制标题
在大量自然主义音频语料库中跟踪说话者：Apollo-11
DOI：
10.1121/10.0008574
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Hansen, John H.
中科院分区：
文献类型：
--
作者：
Chandra Shekar, Meena;Hansen, John H.
阿波罗 11 号是首次成功将宇航员送上月球的载人航天任务。超过 400 名任务专家/支持团队成员参与其中，他们的语音通信是使用 SoundScriber 多通道模拟系统捕获的。为了确保任务成功，团队需要及时参与、沟通、学习、处理和解决问题。因此，为了识别阿波罗任务中每个说话者的角色并分析群体通信，我们需要自动单独标记和跟踪说话者，因为在海量音频语料库上进行手动注释既昂贵又耗时。在本研究中，我们重点关注源自 Fearless Steps Apollo-11 音频数据 10 000 小时的 100 小时子集。我们使用“Waldo 在哪里”的概念来识别我们感兴趣的发言人的所有实例：（i）三名宇航员； (ii) 飞行总监； (iii) 胶囊通讯器。分析 100 小时的小型音频数据集中出现的少数说话者可以扩展到完整的阿波罗任务。该分析提供了一个认识团队沟通、群体动态和人类参与/心理的机会。确定这些人员有助于向数百名使这一科学成就成为可能的著名工程师和科学家致敬。由 NSF 赞助#2016725
Apollo-11 was the first manned space mission to successfully bring astronauts to the moon. More than + 400 mission specialists/support team members were involved whose voice communications were captured using the SoundScriber multi-channel analog system. To ensure mission success, it was necessary for teams to engage, communicate, learn, address and solve problems in a timely manner. Hence, in order to identify each speaker’s role during Apollo missions and analyze group communication, we need to automatically tag and track speakers individually since manual annotation is costly and time consuming on a massive audio corpus. In this study, we focus on a subset of 100 h derived from the 10 000 h of the Fearless Steps Apollo-11 audio data. We use the concept of “Where’s Waldo” to identify all instances of our speakers-of-interest: (i) Three Astronauts; (ii) Flight Director; and (iii) Capsule Communicator. Analyzing the handful of speakers present in the small audio dataset of 100 h can be extended to the complete Apollo mission. This analysis provides an opportunity to recognize team communications, group dynamics, and human engagement/psychology. Identifying these personnel can help pay tribute to the hundreds of notable engineers and scientists who made this scientific accomplishment possible. Sponsored by NSF #2016725