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

CDI-类型II。用于理解鸟类通信的声学传感器阵列这个项目的目的是允许人类理解鸟类歌声的语法和意义。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寻求的目标成为可能。该建议采用的方法是：(1)从各种自然环境下的声传感器阵列收集大量的鸟鸣记录；(2)通过软件处理数据，其中一些是最近的，一些将利用波束形成定位源的新进展开发，然后过滤噪声，识别感兴趣的事件，然后根据物种和个人对它们进行分类，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，可供合作研究小组共享；(4)它将被计算语言工具分析以识别歌曲的句法，并结合关于它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，它将有助于已经在进行的一场深刻的变革：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观察到以前不可能实现的水平。科学家们现在正在从以前无法进入的环境中收集真正的海量数据，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界被证明拥有与我们自己的语言完全不同的语言(看起来很有可能)，这将对计算语言学产生变革。此外，该项目将从根本上扩大语音识别和分类的工程范围，到目前为止，语音识别和分类几乎仅限于人类。其他贡献将来自数据库，该数据库将包括与鸟类鸣叫及其发生的环境/行为背景有关的大量数据。该项目提供主题和外展贡献，将汇集来自工程学、生态学、语言学和艺术学的人--以及来自美国、墨西哥和日本的人。教育部分将把服务不足的K6-12学生与研究社区聚集在一起，并让他们参与到工程、生物和艺术|科学等成熟的教育项目中。虽然这个项目的科学部分是高回报的-高风险的，但外展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.