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

协作研究：数字视频和音频资源社区自动注释存储库（AARDVARC）

• 批准号: 1244695
• 负责人: Douglas Whalen
• 金额: $ 8.63万
• 依托单位: CUNY Graduate School University Center
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1244695&HistoricalAwards=false
• 关键词: Collaborative; Research; Automatically; Annotated; Repository

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.

来自未被充分研究的语言的音频和视频数据对语言学家、人类学家、教育工作者和对视觉动作提取、语音技术或软件本地化感兴趣的计算机科学家很有用。自从通过手持设备方便地进行数字记录以来，文献语言学家已经收集了大量的数据。 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更丰富，更迷人，但它们需要被索引和转录，以便充分发挥其作为研究工具的潜力。 目前的项目，AARDVARC（自动注释的数字音频和视频资源库社区）将通过建立一个跨学科的语言学家，人类学家和计算机科学家的社区来解决未转录的问题，因此无法获得未充分研究的语言的文档，以分享知识并合作规范库和工具套件，以促进转录。 它将提供两个讲习班和一个专题讨论会，以设计一个“休一假一”的储存库，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促进分析师的工作，并大大增加多学科研究人员可用的转录音频和视频的数量。