Angielski
The future in music archiving and search engines is in Deep Learning and Big Data. Algorithms of Music Information Retrieval automatically analyze musical features like timbre, melody, rhythm or musical form, artificial intelligence sorts and relates these features. Within the first International Symposium on Computational Ethnomusicological Archiving held 9.-11.12.2017 at the Institute of Systematic Musicology in Hamburg, Germany, a new Computational Phonogram Archiving standard was discussed as an interndisciplinary approach. Ethnomusicologists, music and computer scientists, systematic musicologists as well as music archives, 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. The volume is a comprehensive overview by the leading researchers in the field wordwide and was the first international meeting on this topic.
