The digital music lab: A big data infrastructure for digital musicology. Abdallah, S., Benetos, E., Gold, N., Hargreaves, S., Weyde, T., & Wolff, D. Journal on Computing and Cultural Heritage, 10(1):1–21, 2017.
doi  abstract   bibtex   
In musicology and music research generally, the increasing availability of digital music, storage capacities, and computing power enable and require new and intelligent systems. In the transition from traditional to digital musicology, many techniques and tools have been developed for the analysis of individual pieces of music, but large-scale music data that are increasingly becoming available require research methods and systems that work on the collection-level and at scale. Although many relevant algorithms have been developed during the past 15 years of research in Music Information Retrieval, an integrated system that supports large-scale digital musicology research has so far been lacking. In the Digital Music Lab (DML) project, a collaboration among music librarians, musicologists, computer scientists, and human-computer interface specialists, the DML software system has been developed that fills this gap by providing intelligent large-scale music analysis with a user-friendly interactive interface supporting musicologists in their exploration and enquiry. The DML system empowers musicologists by addressing several challenges: distributed processing of audio and other music data, management of the data analysis process and results, remote analysis of data under copyright, logical inference on the extracted information and metadata, and visual web-based interfaces for exploring and querying the music collections. The DML system is scalable and based on SemanticWeb technology and integrates into Linked Data with the vision of a distributed system that enables music research across archives, libraries, and other providers of music data. A first DML system prototype has been set up in collaboration with the British Library and I Like Music Ltd. This system has been used to analyse a diverse corpus of currently 250,000 music tracks. In this article, we describe the DML system requirements, design, architecture, components, and available data sources, explaining their interaction. We report use cases and applications with initial evaluations of the proposed system.
@Article{          abdallah.ea2017-digital,
    author       = {Abdallah, Samer and Benetos, Emmanouil and Gold, Nicolas
                   and Hargreaves, Steven and Weyde, Tillman and Wolff,
                   Daniel},
    year         = {2017},
    title        = {The digital music lab: A big data infrastructure for
                   digital musicology},
    abstract     = {In musicology and music research generally, the
                   increasing availability of digital music, storage
                   capacities, and computing power enable and require new and
                   intelligent systems. In the transition from traditional to
                   digital musicology, many techniques and tools have been
                   developed for the analysis of individual pieces of music,
                   but large-scale music data that are increasingly becoming
                   available require research methods and systems that work
                   on the collection-level and at scale. Although many
                   relevant algorithms have been developed during the past 15
                   years of research in Music Information Retrieval, an
                   integrated system that supports large-scale digital
                   musicology research has so far been lacking. In the
                   Digital Music Lab (DML) project, a collaboration among
                   music librarians, musicologists, computer scientists, and
                   human-computer interface specialists, the DML software
                   system has been developed that fills this gap by providing
                   intelligent large-scale music analysis with a
                   user-friendly interactive interface supporting
                   musicologists in their exploration and enquiry. The DML
                   system empowers musicologists by addressing several
                   challenges: distributed processing of audio and other
                   music data, management of the data analysis process and
                   results, remote analysis of data under copyright, logical
                   inference on the extracted information and metadata, and
                   visual web-based interfaces for exploring and querying the
                   music collections. The DML system is scalable and based on
                   SemanticWeb technology and integrates into Linked Data
                   with the vision of a distributed system that enables music
                   research across archives, libraries, and other providers
                   of music data. A first DML system prototype has been set
                   up in collaboration with the British Library and I Like
                   Music Ltd. This system has been used to analyse a diverse
                   corpus of currently 250,000 music tracks. In this article,
                   we describe the DML system requirements, design,
                   architecture, components, and available data sources,
                   explaining their interaction. We report use cases and
                   applications with initial evaluations of the proposed
                   system.},
    doi          = {10.1145/2983918},
    issn         = {15564711},
    journal      = {Journal on Computing and Cultural Heritage},
    keywords     = {Big data,Digital musicology,Music information
                   retrieval,Semantic web,computational musicology},
    mendeley-tags= {computational musicology},
    number       = {1},
    pages        = {1--21},
    volume       = {10}
}
Downloads: 0
About
Documentation
Keywords
Search
Users
Terms and Conditions of Use
Privacy Policy
Sitemap
© BibBase.org 2021