Researching and Encouraging the Promulgation of European Repertory through Technologies Operating on Records Interrelated Utilising Machines (REPERTORIUM)

研究并鼓励通过在记录相关使用机器（REPERTORIUM）上运行的技术来传播欧洲剧目

• 批准号: 10065911
• 金额: $ 38.63万
• 依托单位: SPORK DIGITAL LIMITED
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10065911
• 关键词: Researching; Encouraging; Promulgation; European; Repertory

Music, as one of the most preeminent European artforms that has impacted worldwide cultural heritage, has an intrinsic value enriching our lives. However, music manuscripts frequently remain private, unshown, or unexploited because they are only available as printed or handwritten in local archives. REPERTORIUM aims to: 1) to provide a technological platform for curating databases of mediaeval and classical European art-music works, linked to other relevant existing databases around the world and fed by automated manuscript digitisation and music information retrieval techniques based on Artificial Intelligence (AI); and, 2) leveraging the above technology to create state-of-the-art audio recording and instrument separation technologies (AI-based, stochastic signal processing, and ambisonics spatial audio) targeted at music education institutions(conservatories), professionals(musicians and orchestras) and the public (streaming services). Combining a novel digitisation tool that leverages AI and Deep Learning solutions to perform Optical Music Recognition and Music Information Retrieval across multiple music datasets opens valuable solutions to problems affecting music businesses while efficiently preserving and rendering accessible European musical heritage. Thus, it is possible to provide cost-effective solutions for immersive streaming and virtual reality experiences by leveraging Sound Source Separation and Spatial Audio technologies. The consortium includes musicologists (ICCMU, MMMO, UOXF), a musical organisation (AHECG), an orchestra (LNP), and a company focused on early music (ODRATEK). Its members have been previously awarded funding by the EC for RIA projects (TUNI, POLIMI, ICCMU, UOXF), UJA has experience in coordinating H2020 projects. It is composed of a balanced combination of research participants and industrial / commercial partners, from 8 European countries (4 universities, 2 RTOs, 2 NGOs, 1 orchestra and 3 companies in the music sector).

音乐是影响全球文化遗产的最杰出的欧洲艺术形式之一，具有丰富我们生活的内在价值。但是，音乐手稿经常保持私密，未展示或未开发，因为它们仅在本地档案中以印刷或手写。库库的目的是：1）提供一个技术平台，用于策划中世纪和古典艺术音乐作品的数据库，与世界各地的其他现有数据库相关联，并由自动手稿数字化和基于人工智能（AI）的自动手稿数字化和音乐信息检索技术提供； 2）利用上述技术来创建针对音乐教育机构（音乐家），专业人士（音乐家和乐团）和公众（公共服务）的最先进的音频录制和仪器分离技术（基于AI的基于AI，随机信号处理和Ambisonics空间音频）。结合了一种新颖的数字化工具，该工具利用AI和深度学习解决方案来执行多个音乐数据集的光学音乐识别和音乐信息检索，为影响音乐业务的问题打开了有价值的解决方案，同时有效地保存和渲染了可访问的欧洲音乐遗产。因此，通过利用声源分离和空间音频技术，可以为沉浸式流媒体和虚拟现实体验提供具有成本效益的解决方案。该财团包括音乐学家（ICCMU，MMMO，UOXF），音乐组织（AHECG），乐团（LNP）和专注于早期音乐（ODRATEK）的公司。 UJA以前曾被EC的RIA项目（Tuni，Polimi，ICCMU，UOXF）授予资金，UJA具有协调H2020项目的经验。它由来自8个欧洲国家的研究参与者和工业 /商业合作伙伴的平衡组成（4个大学，2所RTO，2个NGO，1个乐团和音乐领域的3家公司）。