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Computational Phonogram Archiving

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Computational Phonogram Archiving Synopsis

The future of music archiving and search engines lies in deep learning and big data. Music information retrieval algorithms automatically analyze musical features like timbre, melody, rhythm or musical form, and artificial intelligence then sorts and relates these features. At the first International Symposium on Computational Ethnomusicological Archiving held on November 9 to 11, 2017 at the Institute of Systematic Musicology in Hamburg, Germany, a new Computational Phonogram Archiving standard was discussed as an interdisciplinary approach. Ethnomusicologists, music and computer scientists, systematic musicologists as well as music archivists, composers and musicians presented tools, methods and platforms and shared fieldwork and archiving experiences in the fields of musical acoustics, informatics, music theory as well as on music storage, reproduction and metadata. The Computational Phonogram Archiving standard is also in high demand in the music market as a search engine for musicconsumers. This book offers a comprehensive overview of the field written by leading researchers around the globe.

About This Edition

ISBN: 9783030026943
Publication date:
Author: Rolf Bader
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 350 pages
Series: Current Research in Systematic Musicology
Genres: Music
Wave mechanics (vibration and acoustics)
Electronics engineering
Acoustic and sound engineering
Artificial intelligence
Digital signal processing (DSP)

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