CDCLAP: Efficient distillation framework for zero-shot audio event classification.
- DOI
- 10.1016/j.neunet.2026.109764
- Published
- 2026 Oct 16
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109764,
title = {CDCLAP: Efficient distillation framework for zero-shot audio event classification.},
author = {Chen F and Xue H and Fang P},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109764},
url = {https://doi.org/10.1016/j.neunet.2026.109764}
}RIS
TY - JOUR TI - CDCLAP: Efficient distillation framework for zero-shot audio event classification. AU - Chen F AU - Xue H AU - Fang P PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109764 UR - https://doi.org/10.1016/j.neunet.2026.109764 ER -
APA
F, C., H, X., & P, F. (2026). CDCLAP: Efficient distillation framework for zero-shot audio event classification.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109764
Source records
- pubmed · retrieved 2026-11-10T13:16:20.762Z