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

音乐作为影响世界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。然而，音乐手稿往往是私人的、未展示的或未被利用的，因为它们只在当地档案馆以印刷或手写的形式提供。REPERTORIUM的目标是：1)为管理中世纪和古典欧洲艺术-音乐作品数据库提供一个技术平台，与世界各地其他相关的现有数据库相连，并以基于人工智能(AI)的自动手稿数字化和音乐信息检索技术为基础；以及2)利用上述技术创建最先进的音频记录和乐器分离技术(基于人工智能的随机信号处理和兼音空间音频)，面向音乐教育机构(音乐学院)、专业人士(音乐家和管弦乐队)和公众(流媒体服务)。结合一种利用人工智能和深度学习解决方案在多个音乐数据集中执行光学音乐识别和音乐信息检索的新型数字化工具，可以为影响音乐业务的问题提供宝贵的解决方案，同时有效地保护和呈现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经济高效的解决方案。该联盟包括音乐学家(ICCMU、MMMO、UOXF)、一个音乐组织(AHCG)、一个管弦乐队(LNP)和一个专注于早期音乐的公司(ODRATEK)。其成员以前曾获得欧盟委员会对RIA项目(TUNI、POLIMI、ICCMU、UOXF)的资助，UJA在协调H2020项目方面有经验。它由来自8个欧洲国家(4所大学、2个RTO、2个非政府组织、1个交响乐团和3个音乐部门的公司)的研究参与者和工商业伙伴组成。

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).