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Education » Literary
Computational Phonogram Archiving (Current Research in Systematic Musicology) screenshot
2019 | ISBN: 3030026949 | English | 350 pages | PDF | 13 MB
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 music consumers. This book offers a comprehensive overview of the field written by leading researchers around the globe.


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  Releaser 21.07.2012 11895 1892
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  Resident 17.04.2012 490
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those researchers has lose the game, and I will be the winner. for doing some automatically works like computing or AI in musical area you must know a critical idea at background, but unfortunately they didn't realized even they've started many years ago.

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