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

CDI-II型。声学传感器阵列用于理解鸟类通信本项目的目的是让人类理解鸟类鸣叫的语法和含义。 传感器阵列、计算和计算语言学的最新进展终于使这一长期追求的目标得以实现。 本研究的主要目的是：（1）在各种自然环境中，利用声传感器阵列收集大量的鸟鸣声记录;（2）通过软件处理数据，其中一些是最近的，其中一些将使用波束形成定位源的新进展来开发，然后滤除噪声，识别感兴趣的事件，然后将它们按物种和个体分类，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，可供合作研究小组共享;以及（4）将通过计算语言学工具来分析它以识别歌曲的句法，并且结合关于其发生的上下文的信息，然后通过新的软件方法来分析以识别那些歌曲的含义。 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具有变革性。 首先，它将有助于一个已经在进行中的深刻转变：识别非人类物种中非常复杂的信号策略和句法结构。 收集和分析鸟鸣的新工具和方法现在允许以前不可能的观察水平。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，并对数据进行以前未发现的复杂结构分析。如果人类以外的自然世界被证明具有与我们自己完全不同的语言（这似乎很有可能），那么这将是计算语言学的变革。 此外，该项目将从根本上扩大语音识别和分类的工程范围，迄今为止，这几乎仅限于人类。 其他贡献将来自数据库，该数据库将包含与鸟类歌声及其发生的环境/行为背景有关的大量数据。 该项目提供专题和外联贡献，将汇集来自工程、生态、语言学和艺术以及美国、墨西哥和日本的人员。教育部分将把服务不足的K6-12学生与研究界聚集在一起，并将让他们参与工程，生物和艺术方面的完善教育计划|科学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。

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.