I-Corps: Music in the Numbers

I-Corps项目的更广泛影响和商业潜力是由自动化数字引擎中的新型软件驱动的，该软件执行声音处理，将存档和实时数据流的数字序列转换为声音。该软件已应用于多个行业，这些行业将受益于使用非语音音频来表示数据的大数据解释。音频馈送将与视觉表示并行，允许用户即时访问扩展的信息。在处理某些类型的信息，尤其是随时间变化的信息方面，人的耳朵优于眼睛。作为视觉分析的替代或补充，音频感知可以处理时间、空间、幅度和频率分辨率的数据。将正在进行的趋势分析和异常检测转移到音频将减少视觉数据过载。音频解释允许用户在收听存档或实时数据的音频流时进行多任务处理。Sonification为视障用户提供音频图标，并为不同的学习者提供另一种学习模式。它是健康、医药、金融、国防、航空、制造、安全（包括国土和家庭安全领域）以及其他需要大数据分析的行业的趋势分析和异常检测的有效工具。这个I-Corps项目源于美国国家科学基金会极地项目办公室颁发的南极艺术家和作家项目奖。它代表了艺术和科学专业知识的融合，朝着新的数据分析工具的发展。该项目结合了数据的自动声音化和定制的解释，以响应各种审美和民族情感。音频背景可以根据不同的音乐风格，包括但不限于，爵士，卡利普索，古典，摇滚定制。自定义元素发生在算法之外。该算法从数据馈送中产生音符旋律。用户自定义提供适当的自定义节奏轨道，以及和弦进行或程序，将与所产生的旋律协调一致。根据《哈佛商业评论》，信息过载会降低员工的工作效率。考虑到许多市场的这种过载和数据分析需求，该产品可以在不同的市场推出，包括金融交易、重症监护医学、工厂过程控制、空中交通管制、安全监控、士兵意识，以及关键实时数据流无法管理、导致数据理解和响应时间错误的市场。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is driven by novel software within an automated digital engine, performing sonification that translates numerical sequences of archived and real-time data streams into sound. The software has applications in multiple industries that will benefit from ongoing interpretation of big data using non-speech audio to represent data. The audio feed will be paralleled with visual representation, allowing the user instant access to expanded information. The human ear is superior to the eye for processing certain kinds of information, especially information that changes over time. As an alternative or complement to visual analysis, audio perception can process data in temporal, spatial, amplitude, and frequency resolution. Shifting ongoing trend analysis and anomaly detection to audio will reduce visual data overload. Audio interpretation allows users to multi-task while listening to an audio stream of archived or real-time data. Sonification offers audio icons to visually impaired users and provides an alternative learning mode for diverse learners. It is an efficacious tool for trend analysis and anomaly detection for diverse industries, such as health, medicine, finance, defense, aviation, manufacturing, security, including homeland and home security fields, and other endeavors requiring analysis of big data. This I-Corps project was born from an Antarctic Artists and Writers Program award from NSF's Office of Polar Programs. It represents the fusion of artistic and scientific expertise toward the development of a new data analysis tool. This project combines both automated sonification of data with customized interpretation that responds to a variety of aesthetic and ethnic sensibilities. Audio backgrounds can be customized based upon diverse music styles, including but not limited to, jazz, calypso, classical, rock. Elements of customization happen outside of the algorithm. The algorithm produces a melody of notes coming from a data feed. User customizations provide an appropriate customized rhythm track as well as a chord progression or program that would harmonize with the melody produced. Information overload lowers employee productivity, according to Harvard Business Review (Hemp 2009). Given this overload and data analysis needs in many markets, this product could be launched in diverse markets, including financial trading, intensive care medicine, factory process control, air traffic control, security monitoring, soldier awareness, and markets with unmanageable flows of critical real time data with resulting data comprehension and response time errors.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.