SBIR Phase I: ZOOZbeat - An Interactive Music Analysis, Re-synthesis and Distribution Engine

SBIR 第一阶段：ZOOZbeat - 交互式音乐分析、重新合成和分发引擎

• 批准号: 1010614
• 负责人: Scott Geller
• 金额: $ 15万
• 依托单位: ZOOZ Mobile
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1010614&HistoricalAwards=false
• 关键词: SBIR; Phase; ZOOZbeat; Interactive; Music

This Small Business Innovation Research (SBIR) Phase I project aims at developing a computational music system that will automatically analyze, re-synthesize and distribute digital music with the goal of transforming a linear and passive music listening practice into an interactive, expressive and viral music performance experience. The system will utilize approaches for temporal, tonal and harmonic analysis as well as collaborative interactive performance and distribution, in an effort to create an engaging musical experience that is rewarding and viral. Mobile and web-based applications will be developed supporting cloud-based multi-player interactions, allowing music fans to get expressively involved in creating, modifying, and personalizing their favorite music. The project will investigate how temporal structures in music are represented and processed by human listeners and will design new models for analysis and re-synthesis of music in an effort to facilitate interactive and collaborative musical experiences. The project will advance current knowledge in areas such as music information retrieval, music theory, music perception, machine learning, mobile interaction, signal processing, instrument design, and cloud computing. If successful, the project will lead to broad impact in the public sphere by creating engaging and rewarding musical experience for users at all skill levels. By providing easy-to use tools for music creation and sharing, the project would encourage creativity and expression for the general population, facilitating growth in user-generated content in an area that is usually not accessible to the masses. From a business perspective, the broad impact of the project will be in providing a novel solution to the significant problems faced by the music industry today. The industry is looking for new ways to monetize content by engaging fans with music games and personalization tools (e.g. ring tones). Once deployed, the platform proposed will address these needs by providing an intelligent system that will allow fans to interact, personalize and share their favorite music in an expressive and viral manner, using mobile devices and online.

这个小型企业创新研究（SBIR）第一阶段项目旨在开发一个计算音乐系统，该系统将自动分析，重新合成和分发数字音乐，目标是将线性和被动的音乐聆听实践转化为互动，富有表现力和病毒式的音乐表演体验。该系统将利用时间，音调和谐波分析以及协作互动表演和分配的方法，努力创造一个有价值和病毒式的引人入胜的音乐体验。移动的和基于网络的应用程序将被开发，支持基于云的多玩家交互，使音乐爱好者能够富有表现力地参与创作、修改和个性化他们最喜欢的音乐。 该项目将研究音乐中的时间结构是如何被人类听众表示和处理的，并将设计新的模型来分析和重新合成音乐，以促进互动和协作的音乐体验。该项目将推进音乐信息检索、音乐理论、音乐感知、机器学习、移动的交互、信号处理、乐器设计和云计算等领域的现有知识。如果成功，该项目将通过为所有技能水平的用户创造引人入胜和有益的音乐体验，在公共领域产生广泛的影响。 通过提供易于使用的音乐创作和分享工具，该项目将鼓励普通民众的创造力和表达能力，促进在一个通常不为大众所知的领域增加用户制作的内容。从商业的角度来看，该项目的广泛影响将是为当今音乐行业面临的重大问题提供一种新颖的解决方案。该行业正在寻找通过音乐游戏和个性化工具（例如铃声）吸引粉丝的新方法来赚钱。一旦部署，拟议的平台将通过提供一个智能系统来满足这些需求，该系统将允许粉丝使用移动的设备和在线以富有表现力和病毒式的方式进行交互、个性化和分享他们喜爱的音乐。