Learning Music Audio Representations Via Weak Language Supervision

Author:

Manco Ilaria1,Benetos Emmanouil1,Quinton Elio2,Fazekas Gyorgy1

Affiliation:

1. Queen Mary University of London,School of EECS,London,U.K.

2. Universal Music Group,Music & Audio Machine Learning Lab,London,U.K.

Funder

UK Research and Innovation

Publisher

IEEE

Reference31 articles.

1. MediaEval 2020 emotion and theme recognition in music task: Loss function approaches for multi-label music tagging;knox;CEUR Workshop Proceedings,2020

2. Representation Learning of Music Using Artist Labels;park;Proceedings of the 19th ISMIR conference,2018

3. Multi-Task Self-Supervised Pre-Training for Music Classification

4. Codified audio language modeling learns useful representations for music information retrieval;castellon;Proceedings of the 22nd ISMIR Conference,2021

5. ViLBERT: Pre-training Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks;lu;Advances in neural information processing systems,2019

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