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Computational phonogram archiving
~
Bader, Rolf.
Computational phonogram archiving
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Computational phonogram archivingedited by Rolf Bader.
其他作者:
Bader, Rolf.
出版者:
Cham :Springer International Publishing :2019.
面頁冊數:
xii, 350 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
SoundRecording and reproducing
電子資源:
https://doi.org/10.1007/978-3-030-02695-0
ISBN:
9783030026950$q(electronic bk.)
Computational phonogram archiving
Computational phonogram archiving
[electronic resource] /edited by Rolf Bader. - Cham :Springer International Publishing :2019. - xii, 350 p. :ill., digital ;24 cm. - Current research in systematic musicology,v.52196-6966 ;. - Current research in systematic musicology ;v.4..
The future of music archiving and search engines lies in deep learning and big data. Music information retrieval algorithms automatically analyze musical features like timbre, melody, rhythm or musical form, and artificial intelligence then sorts and relates these features. At the first International Symposium on Computational Ethnomusicological Archiving held on November 9 to 11, 2017 at the Institute of Systematic Musicology in Hamburg, Germany, a new Computational Phonogram Archiving standard was discussed as an interdisciplinary approach. Ethnomusicologists, music and computer scientists, systematic musicologists as well as music archivists, composers and musicians presented tools, methods and platforms and shared fieldwork and archiving experiences in the fields of musical acoustics, informatics, music theory as well as on music storage, reproduction and metadata. The Computational Phonogram Archiving standard is also in high demand in the music market as a search engine for music consumers. This book offers a comprehensive overview of the field written by leading researchers around the globe.
ISBN: 9783030026950$q(electronic bk.)
Standard No.: 10.1007/978-3-030-02695-0doiSubjects--Topical Terms:
182344
Sound
--Recording and reproducing
LC Class. No.: TK7881.4 / .C667 2019
Dewey Class. No.: 621.3893
Computational phonogram archiving
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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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