Papers by Mingliang Zeng

1 papers
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training (2021.findings-acl)

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Challenge: Symbolic music understanding is useful for many music applications, but lack of training data hinders representation learning.
Approach: They propose a pre-trained model for music understanding that uses symbolic music data to train music representations.
Outcome: The proposed model improves on four music understanding tasks.

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