Audio self-supervised learning: A survey.

Liu S, Mallol-Ragolta A, Parada-Cabaleiro E, Qian K, Jing X, Kathan A, Hu B, Schuller BW

Open source

DOI
10.1016/j.patter.2022.100616
Published
2022 Dec 9
Container
Patterns (New York, N.Y.)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.patter.2022.100616,
  title = {Audio self-supervised learning: A survey.},
  author = {Liu S and Mallol-Ragolta A and Parada-Cabaleiro E and Qian K and Jing X and Kathan A and Hu B and Schuller BW},
  year = {2022},
  journal = {Patterns (New York, N.Y.)},
  doi = {10.1016/j.patter.2022.100616},
  url = {https://doi.org/10.1016/j.patter.2022.100616}
}

RIS

TY  - JOUR
TI  - Audio self-supervised learning: A survey.
AU  - Liu S
AU  - Mallol-Ragolta A
AU  - Parada-Cabaleiro E
AU  - Qian K
AU  - Jing X
AU  - Kathan A
AU  - Hu B
AU  - Schuller BW
PY  - 2022
JO  - Patterns (New York, N.Y.)
DO  - 10.1016/j.patter.2022.100616
UR  - https://doi.org/10.1016/j.patter.2022.100616
ER  -

APA

S, L., A, M., E, P., K, Q., X, J., A, K., B, H., & BW, S. (2022). Audio self-supervised learning: A survey.. Patterns (New York, N.Y.). https://doi.org/10.1016/j.patter.2022.100616

Source records