Real-Time Tracking of Simultaneous Musical Inputs Using a Multiprocessor

使用多处理器实时跟踪同时音乐输入

• 批准号: 9010793
• 负责人: Bridget Baird
• 金额: $ 4.7万
• 依托单位: Connecticut College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-08-15 至 1993-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9010793&HistoricalAwards=false
• 关键词: Real; Time; Tracking; Simultaneous; Musical

An expert musician, when playing with other musicians, is able to listen to simultaneous inputs and synthesize that information in order to decide on the correct position in the musical score. The research objective of this project is to investigate algorithms that would allow an artificial system to simulate this real-time tracking ability. A working computer performer, capable of playing intractively with live musicians, and implemented on multiprocessor, will be the vehicle for testing and developing the tracking algorithm. Since the computer performer will need to examine complex patterns of notes from several sources and also to inspect simultaneously several possible locations in the musical score, parallel processing and pattern matching considerations will be important. This research will provide insight into methods of parallel processing and pattern matching; will give musicians a new, practical interactive tool for performance; and will be an innovative application of multiprocessors.

一个专业的音乐家，当与其他音乐家一起演奏时，能够 倾听同时输入的信息， 以决定乐谱中的正确位置。 本项目的研究目标是调查 算法可以让人工系统模拟 实时跟踪能力。 一个工作的电脑表演者， 能够与现场音乐家一起演奏， 在多处理器上实现，将是测试的工具 并开发跟踪算法。 由于计算机 表演者需要从不同的音符中 多个来源，同时检查多个 乐谱中的可能位置，并行处理， 模式匹配考虑将是重要的。 本研究 将提供深入了解并行处理的方法， 模式匹配;将给音乐家一个新的，实用 互动工具，并将是一个创新的 多处理器的应用。