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A Multimodal Way of Experiencing and Exploring Music

Bibliographic Data

ID11936526
AuthorsMeinard Müller (0000-0001-6062-7524, Max Planck Society, corresponding author), Verena Konz (Saarland University), Michael Clausen (University of Bonn), Sebastian Ewert (0000-0002-0718-0476, University of Bonn), Christian Fremerey (University of Bonn)
Year2010
Volume35
Issue2
Pages138-153
Publication date2010-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInterdisciplinary Science Reviews (JOURNAL)
Journal identifiersISSN: 0308-0188 • E-ISSN: 1743-2790
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1179/030801810x12723585301110
OpenAlexW2030800695
LanguageEN
Citations received1
References cited10

Significant digitization efforts have resulted in large multimodal music collections, which comprise music-related documents of various types and formats including text, symbolic data, audio, image, and video. The challenge is to organize, understand, and search musical content in a robust, efficient, and intelligent manner. Key issues concern the development of methods for analysing, correlating, and annotating the available multimodal material, thus identifying and establishing semantic relationships across various music representations and formats. Here, one important task is referred to as music synchronization, which aims at identifying and linking semantically corresponding events present in different versions of the same underlying musical work. In this paper, we give an introduction to music synchronization and show how synchronization techniques can be integrated into novel user interfaces that allow music lovers and researchers to access and explore music in all its different facets thus enhancing human involvement with music and deepening music understanding

Art · Digitization · Human–computer interaction · Key (lock · Multimedia · Music Information Retrieval · Musical · Musical composition · Pop music automation · Synchronization (alternating current · Task (project management · Visual arts · Computer Science · Music and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception

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Unique citing works1
Citations per year0.25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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