Collaborative Research: Automatically Annotated Repository of Digital Video and Audio Resources Community (AARDVARC)

对于对视觉动作提取、语音技术或软件本地化感兴趣的语言学家、人类学家、教育家和计算机科学家来说，来自未被研究的语言的音频和视频数据是有用的。自从通过手持设备进行轻松的数字记录以来，纪实语言学家已经收集了大量这样的数据。作为正在消失的语言和文化的记录，视频和音频记录比纸质记录丰富得多，也更吸引人，但它们需要被编入索引和转录，才能充分发挥其作为研究工具的潜力。目前的项目AARDVARC(数字音频和视频资源社区自动注释库)将通过建立一个由语言学家、人类学家和计算机科学家组成的跨学科社区来解决未转录的、因此无法获得的未被研究的语言的文件问题，以分享知识并就促进转录的储存库和工具套件的规范进行合作。它将举办两次讲习班和一次专题讨论会，以设计一个“只留下一个”的资料库，并探讨语音和视频处理方面的最新进展，使人类学家和语言学家能够打破语言数据的“转录瓶颈”。即使是部分自动化也将极大地方便分析师的工作，并极大地增加多个学科的研究人员可以获得的转录音频和视频的数量。

Audio and video data from understudied languages is useful to linguists, anthropologists, educators, and computer scientists interested in visual action extraction, speech technology or software localization. Terabytes of such data exist, having been collected in large amounts by documentary linguists since the advent of easy digital recording via handheld devices. As records of vanishing languages and cultures, video and audio records are far richer and more captivating than paper records, but they need to be indexed and transcribed so that they reach their full potential as research tools. The current project, AARDVARC (Automatically Annotated Repository of Digital Audio and Video Resources Community) will address the problem of untranscribed, and therefore unavailable, documentation of understudied languages by building an interdisciplinary community of linguists, anthropologists, and computer scientists to share knowledge and collaborate on the specification of a repository and suite of tools to facilitate transcription. It will provide for two workshops and a symposium to design a "take one leave one" repository and to explore recent advances in speech and video processing that will allow anthropologists and linguists to break the 'transcription bottleneck' for language data. Even partial automation will greatly facilitate the work of the analyst and dramatically increase the amount of transcribed audio and video available to researchers in multiple disciplines.