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H2020Doctoral network2018–2022

MIP-Frontiers · New Frontiers in Music Information Processing

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2018-04-01 → 2022-03-31
EU contribution
€3,926,676
Participants
16
Scheme
MSCA-ITN

Lines connect the coordinator with its partners.

Results in brief

New Frontiers in Music Information Processing

New Frontiers in Music Information Processing (MIP-Frontiers) was an EU Horizon 2020 funded project, a Marie Skłodowska-Curie Action (MSCA) European Training Network (ETN). from April 2018 to March 2022. Music Information Processing (MIP), also known as Music Information Retrieval (MIR) involves the use of information processing methodologies to understand and model music, and to develop products and services for music and music-related industries. The project brought together 4 academic and 3 non-academic Beneficiaries and 9 Partner Organisations with the aim to trained 15 early career stage researchers (ESRs) in a range of university-based and industry-based PhDs. The work was structured along three research frontiers identified as requiring intensive attention and integration (data-driven, knowledge-driven, and user-driven approaches). Scientifically speaking, it addressed three main weaknesses in MIR: • not being robust to differences in musical style • not generalizing across different use contexts • not being scalable to industrial scale datasets. The 15 researchers were trained to address MIR skills needs and gaps. The fellows have learned to think entrepreneurially and to exploit their research in new ways that will benefit European industry and society leading MIR transformation in academia and industry. And will contribute to Europe's leading role in this field. The ESRs have also been exposed to industry and academic environments in their daily work and via secondments and seminars led by industry and academic partners. The training have given them the technical and research skills they needed, and a range of transferable skills training to enhance the ESRs’ employability whether in industry or academia. The 15 ESRs' PhD topics reflect the importance that knowledge, data and users-driven methodologies have in the field and provide a good example of the diverse approaches that are currently being proposed. However, in the case of most music related problems, they have also shown that by themselves these methodologies cannot successfully solve most problems. It is clear that an interdisciplinary approach has to be taken to tackle music problems. Also, the fellows research has showed the need for more informed, deliberately structured, knowledge-directed approaches to solve the big open problems in music and sound modelling. And that systems need to be built for and with users, the user-driven approach has to be incorporated and considered in all projects.

Data: CORDIS, © European Union

Project objective

Music Information Processing (also known as Music Information Research; MIR) involves the use of information processing methodologies to understand and model music, and to develop products and services for creation, distribution and interaction with music and music-related information. MIR has reached a state of maturity where there are standard methods for most music information processing tasks, but as these have been developed and tested on small datasets, the methods tend to be neither robust to different musical styles or use contexts, nor scalable to industrial scale datasets. To address this need, and to train a new generation of researchers who are aware of, and can tackle, these challenges, we bring together leading MIR groups and a wide range of industrial and cultural stakeholders to create a multidisciplinary, transnational and cross-sectoral European Training Network for MIR researchers, in order to contribute to Europe's leading role in this field of scientific innovation, and accelerate the impact of innovation on European products and industry.The researchers will develop breadth in the fields that make up MIR and in transferable skills, whilst gaining deep knowledge and skills in their own area of speciality. They will learn to perform collaborative research, and to think entrepreneurially and exploit their research in new ways that benefit European industry and society.The proposed work is structured along three research frontiers identified as requiring intensive attention and integration (data-driven, knowledge-driven, and user-driven approaches), and will be guided by and grounded in real application needs by a unique set of industrial and cultural stakeholders in the consortium, which range from consumer electronics companies and big players in media entertainment to innovative SMEs, cultural institutions, and even a famous opera house, thus encompassing a very wide spectrum of the digital music world.

Original text from CORDIS.

Participants

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Data: CORDIS, © European Union