Deep learning model using squeezenet and promoted ideal gas molecular motion for music genre classification from audio spectrograms.

Xue M

Open source

DOI
10.1038/s41598-025-16499-z
Published
2025 Sep 1
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-025-16499-z,
  title = {Deep learning model using squeezenet and promoted ideal gas molecular motion for music genre classification from audio spectrograms.},
  author = {Xue M},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-16499-z},
  url = {https://doi.org/10.1038/s41598-025-16499-z}
}

RIS

TY  - JOUR
TI  - Deep learning model using squeezenet and promoted ideal gas molecular motion for music genre classification from audio spectrograms.
AU  - Xue M
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-16499-z
UR  - https://doi.org/10.1038/s41598-025-16499-z
ER  -

APA

M, X. (2025). Deep learning model using squeezenet and promoted ideal gas molecular motion for music genre classification from audio spectrograms.. Scientific reports. https://doi.org/10.1038/s41598-025-16499-z

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