An integrated deep learning model combining 1D-UNet and LSTM for speech emotion classification.

Yun W, Jing W

DOI: 10.1080/03091902.2026.2737129
Published: 2026 Oct 22
Container: Journal of medical engineering & technology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/03091902.2026.2737129,
  title = {An integrated deep learning model combining 1D-UNet and LSTM for speech emotion classification.},
  author = {Yun W and Jing W},
  year = {2026},
  journal = {Journal of medical engineering \& technology},
  doi = {10.1080/03091902.2026.2737129},
  url = {https://doi.org/10.1080/03091902.2026.2737129}
}

RIS

TY  - JOUR
TI  - An integrated deep learning model combining 1D-UNet and LSTM for speech emotion classification.
AU  - Yun W
AU  - Jing W
PY  - 2026
JO  - Journal of medical engineering & technology
DO  - 10.1080/03091902.2026.2737129
UR  - https://doi.org/10.1080/03091902.2026.2737129
ER  -

APA

W, Y., & W, J. (2026). An integrated deep learning model combining 1D-UNet and LSTM for speech emotion classification.. Journal of medical engineering & technology. https://doi.org/10.1080/03091902.2026.2737129

Source records

pubmed · retrieved 2026-11-10T13:12:29.356Z