Ecole d'ingénieur et centre de recherche en Sciences du numérique

Combining music specific embeddings for computing artist similarity

Lisena, Pasquale; Troncy, Raphaël

ISMIR 2017, 18th International Society for Music Information Retrieval Conference, Late-breaking & demo track, 23-27 October 2017, Suzhou, China

In this paper, we present an original approach and preliminary results for computing similarities between musicrelated entities (artists, works, performances) using embeddings that take into account not only the semantic description of those entities but also their usage in a rich music dataset.

Document Bibtex

Titre:Combining music specific embeddings for computing artist similarity
Type:Poster / Demo
Département:Data Science
Eurecom ref:5361
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Bibtex: @poster / demo{EURECOM+5361, year = {2017}, title = {{C}ombining music specific embeddings for computing artist similarity}, author = {{L}isena, {P}asquale and {T}roncy, {R}apha{\"e}l}, number = {EURECOM+5361}, month = {10}, institution = {Eurecom} address = {{S}uzhou, {CHINE}}, url = {} }
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