Midi representation with graph embeddings

Lisena, Pasquale; Meroño Peñuela, Albert; Troncy, Raphaël
ISMIR 2021, 22nd International Society for Music Information Retrieval Conference, 7-12 November 2021, Online Event

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.


Type:
Poster / Demo
Date:
2021-11-07
Department:
Data Science
Eurecom Ref:
6741
Copyright:
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PERMALINK : https://www.eurecom.fr/publication/6741