Midi representation with graph embeddings

Lisena, Pasquale; Meroño Peñuela, Albert; Troncy, Raphaël

In MIR, feature extraction has been extensively used for learning models of MIDI. We propose an alternative approach that relies on the extraction of latent features from a graph of connected nodes. We show that our MIDI2vec approach has good performance in metadata prediction.

Poster / Demo
Data Science
Eurecom Ref:
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PERMALINK : https://www.eurecom.fr/publication/6741