MS-EmoBoost: a novel strategy for enhancing self-supervised speech emotion representations.

Song H, Zhang L, Gao M, Zhang H, Hain T, Shan L

DOI: 10.1038/s41598-025-94727-2
Published: 2025 Jul 1
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-94727-2,
  title = {MS-EmoBoost: a novel strategy for enhancing self-supervised speech emotion representations.},
  author = {Song H and Zhang L and Gao M and Zhang H and Hain T and Shan L},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-94727-2},
  url = {https://doi.org/10.1038/s41598-025-94727-2}
}

RIS

TY  - JOUR
TI  - MS-EmoBoost: a novel strategy for enhancing self-supervised speech emotion representations.
AU  - Song H
AU  - Zhang L
AU  - Gao M
AU  - Zhang H
AU  - Hain T
AU  - Shan L
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-94727-2
UR  - https://doi.org/10.1038/s41598-025-94727-2
ER  -

APA

H, S., L, Z., M, G., H, Z., T, H., & L, S. (2025). MS-EmoBoost: a novel strategy for enhancing self-supervised speech emotion representations.. Scientific reports. https://doi.org/10.1038/s41598-025-94727-2

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pubmed · retrieved 2026-09-25T15:18:18.629Z