nubahador commited on
Commit
42fe492
·
verified ·
1 Parent(s): f41f590

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -12
README.md CHANGED
@@ -15,7 +15,7 @@ license: mit
15
 
16
  ### Dataset Description
17
 
18
- This dataset contains synthetic chirp spectrograms with corresponding labels, generated for research in signal processing and machine learning applications. The dataset is particularly useful for developing and testing models for chirp signal detection and localization.
19
 
20
  - **Curated by:** Nooshin Bahador
21
  - **Funded by:** Canadian Neuroanalytics Scholars Program
@@ -46,17 +46,6 @@ The data was generated by the authors using their custom Python package.
46
 
47
  ## Citation
48
 
49
- **BibTeX:**
50
- @misc{bahador2025chirp,
51
- title={Chirp localization via fine-tuned transformer model: A proof-of-concept study},
52
- author={Nooshin Bahador and Milad Lankarany},
53
- year={2025},
54
- eprint={2503.22713},
55
- archivePrefix={arXiv},
56
- primaryClass={eess.AS}
57
- }
58
-
59
- **ArXiv Publication:**
60
  [Bahador, N., & Lankarany, M. (2025). Chirp localization via fine-tuned transformer model: A proof-of-concept study. arXiv preprint arXiv:2503.22713.](https://arxiv.org/pdf/2503.22713)
61
 
62
  ## More Information
 
15
 
16
  ### Dataset Description
17
 
18
+ This dataset contains 100000 synthetic chirp spectrograms with corresponding labels, generated for research in signal processing and machine learning applications. The dataset is particularly useful for developing and testing models for chirp signal detection and localization.
19
 
20
  - **Curated by:** Nooshin Bahador
21
  - **Funded by:** Canadian Neuroanalytics Scholars Program
 
46
 
47
  ## Citation
48
 
 
 
 
 
 
 
 
 
 
 
 
49
  [Bahador, N., & Lankarany, M. (2025). Chirp localization via fine-tuned transformer model: A proof-of-concept study. arXiv preprint arXiv:2503.22713.](https://arxiv.org/pdf/2503.22713)
50
 
51
  ## More Information