EMBNet: Multi-scale feature learning with efficient channel attention for deepfake speech detection.

Yang H, Li F, Cai X, Huang J, Tang Y, Xiong Y, Wang H.

DOI: 10.1111/1556-4029.70432
Published: 2026-08-10
Container: J Forensic Sci
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1111/1556-4029.70432,
  title = {EMBNet: Multi-scale feature learning with efficient channel attention for deepfake speech detection.},
  author = {Yang H and  Li F and  Cai X and  Huang J and  Tang Y and  Xiong Y and  Wang H.},
  year = {2026},
  journal = {J Forensic Sci},
  doi = {10.1111/1556-4029.70432},
  url = {https://doi.org/10.1111/1556-4029.70432}
}

RIS

TY  - JOUR
TI  - EMBNet: Multi-scale feature learning with efficient channel attention for deepfake speech detection.
AU  - Yang H
AU  -  Li F
AU  -  Cai X
AU  -  Huang J
AU  -  Tang Y
AU  -  Xiong Y
AU  -  Wang H.
PY  - 2026
JO  - J Forensic Sci
DO  - 10.1111/1556-4029.70432
UR  - https://doi.org/10.1111/1556-4029.70432
ER  -

APA

H, Y., F, L., X, C., J, H., Y, T., Y, X., & H., W. (2026). EMBNet: Multi-scale feature learning with efficient channel attention for deepfake speech detection.. J Forensic Sci. https://doi.org/10.1111/1556-4029.70432

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europe-pmc · retrieved 2026-09-25T08:10:38.797Z