CDI-Type II: Acoustic Sensor Arrays for Understanding Bird Communication

CDI-Type II：用于了解鸟类通讯的声学传感器阵列

• 批准号: 1125423
• 负责人: Charles Taylor
• 金额: $ 249.97万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1125423&HistoricalAwards=false
• 关键词: CDI; Type; II; Acoustic; Sensor

CDI-Type II. Acoustic Sensor Arrays for Understanding Bird Communication The intent of this project is to permit humans to understand the grammar and meaning of bird songs. Recent advances in sensor arrays, computation, and computational linguistics finally make this long-sought goal achievable. The approach taken in this proposal is to: (1) collect very large amounts of bird song recordings from acoustic sensor arrays in a variety of natural settings; (2) process the data by software, some of which is recent and some of which will be developed using new advances in localizing source with beamforming, then filtering out noise, identifying events of interest, and then classifying them according to species and individual, and combining that with behavioral observations; (3) this information/knowledge will then be stored in a large database that can be shared among the collaborating research groups; and (4) it will be analyzed by computational-linguistic tools to identify the syntax of the songs, and combined with information about the context in which it occurred, then analyzed by new software methods to identify the meaning of those songs. The project begins testing inferences from those inferences and explore consequences for individual and community ecology. The research will be transformational in several ways. First, it will contribute to a profound transformation that is already underway: the recognition of very sophisticated signaling strategies and syntactic structures in non-human species. The new tools and methods for collecting and analyzing bird song now allow a level of observation that previously would not have been possible. Scientists are now collecting truly vast amounts of data from previously inaccessible settings and subjecting data to previously undiscovered sophisticated structural analyses. It will be transformational to computational linguistics if the natural world beyond humans were shown to have languages that are radically different from our own (as seems quite likely). In addition, the project will radically expand the range of engineering with voice recognition and classification, which so far has been restricted almost exclusively to humans. Other contributions will come from the database that will comprise huge amounts of data pertaining to bird songs and the environmental/behavioral context in which it occurs. Offering both thematic and outreach contributions, the project will bring together people from engineering, ecology, linguistics and art -- and from the US, Mexico and Japan. The educational part will bring together underserved K6-12 students with the research community and will involve them with well-established educational programs in engineering, biology and art | science. While the science portion of this project is high-payoff --- high-risk, the outreach portion will certainly be effective at furthering appreciation and learning of science.

CDI-Type II。理解鸟类交流的声学传感器阵列这个项目的目的是让人类理解鸟类歌曲的语法和含义。传感器阵列、计算和计算语言学的最新进展最终使这一长期追求的目标得以实现。本提案采用的方法是：(1)在各种自然环境中从声学传感器阵列收集大量的鸟类鸣叫记录；(2)利用软件处理数据，其中一些是最近的数据，一些将利用波束形成定位源的新进展进行处理，然后过滤噪声，识别感兴趣的事件，然后根据物种和个体进行分类，并将其与行为观察相结合；(3)这些信息/知识将存储在一个大型数据库中，可以在合作研究小组之间共享；(4)将通过计算语言工具对其进行分析，以识别歌曲的语法，并结合歌曲发生的上下文信息，然后通过新的软件方法进行分析，以识别这些歌曲的含义。该项目开始测试这些推论的推论，并探索对个人和社区生态的影响。这项研究将在几个方面带来变革。首先，它将促进一种已经在进行中的深刻转变：对非人类物种中非常复杂的信号策略和句法结构的认识。收集和分析鸟类鸣叫的新工具和方法现在可以达到以前不可能达到的观察水平。科学家们现在正在从以前无法进入的环境中收集真正大量的数据，并将数据用于以前未发现的复杂结构分析。如果超越人类的自然世界被证明拥有与我们自己的语言截然不同的语言（这似乎很有可能），这将是计算语言学的转型。此外，该项目将从根本上扩大声音识别和分类的工程范围，到目前为止，这几乎仅限于人类。其他贡献将来自数据库，该数据库将包含大量有关鸟类鸣叫及其发生的环境/行为背景的数据。该项目提供主题和外联贡献，将汇集来自工程、生态学、语言学和艺术以及美国、墨西哥和日本的人们。教育部分将把缺乏教育的K6-12学生与研究界联系在一起，让他们参与工程、生物和艺术等领域成熟的教育项目。虽然这个项目的科学部分是高回报-高风险的，但推广部分肯定会有效地促进对科学的欣赏和学习。