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.
