nubahador commited on
Commit
db37e2f
·
verified ·
1 Parent(s): 8b1359e

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +71 -3
README.md CHANGED
@@ -1,3 +1,71 @@
1
- ---
2
- license: mit
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ ---
4
+
5
+ # Dataset Card for Chirp Spectrograms (Images & Corresponding Labels)
6
+
7
+ <!-- Provide a quick summary of the dataset. -->
8
+ 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.
9
+
10
+ ## Dataset Details
11
+
12
+ ### Dataset Description
13
+
14
+ The dataset consists of synthetic spectrogram images representing chirp signals with varying parameters, along with their corresponding labels for machine learning applications.
15
+
16
+ - **Curated by:** Nooshin Bahador
17
+ - **Funded by:** Canadian Neuroanalytics Scholars Program
18
+ - **Shared by:** Nooshin Bahador
19
+ - **Language(s):** Python (for generation package)
20
+ - **License:** MIT
21
+
22
+ ### Dataset Sources
23
+
24
+ - **Repository:** [GitHub Package](https://github.com/nbahador/chirp_spectrogram_generator/tree/main)
25
+ - **Paper:** [arXiv Publication](https://arxiv.org/pdf/2503.22713)
26
+ - **Demo:** Included in GitHub repository
27
+
28
+ ## Dataset Structure
29
+
30
+ The dataset contains:
31
+ - Spectrogram images
32
+ - Corresponding labels including chirp parameters and locations
33
+ - Metadata about generation parameters
34
+
35
+ #### Data Collection and Processing
36
+
37
+ Data was synthetically generated using the provided Python package, with parameters randomly sampled from physiologically relevant ranges.
38
+
39
+ #### Who are the source data producers?
40
+
41
+ The data was generated by the authors using their custom Python package.
42
+
43
+ ## Citation
44
+
45
+ **BibTeX:**
46
+ @misc{bahador2025chirp,
47
+ title={Chirp localization via fine-tuned transformer model: A proof-of-concept study},
48
+ author={Nooshin Bahador and Milad Lankarany},
49
+ year={2025},
50
+ eprint={2503.22713},
51
+ archivePrefix={arXiv},
52
+ primaryClass={eess.AS}
53
+ }
54
+
55
+ **APA:**
56
+ [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)
57
+
58
+ ## Sample Generated Spectrograms
59
+
60
+ <div style="display: flex; justify-content: space-between; gap: 20px;">
61
+ <img src="https://github.com/nbahador/chirp_spectrogram_generator/blob/main/Usage_Example/spectrogram_4.png" alt="Sample Generated Spectrogram" width="300" height="200" />
62
+ <img src="https://github.com/nbahador/chirp_spectrogram_generator/blob/main/Usage_Example/Samples.jpg" alt="Sample Generated Spectrograms" width="400" height="200" />
63
+ </div>
64
+
65
+ ## More Information
66
+
67
+ For more information and generation code, visit the [GitHub repository](https://github.com/nbahador/chirp_spectrogram_generator/tree/main).
68
+
69
+ ## Dataset Card Authors
70
+
71
+ [Nooshin Bahador](https://www.linkedin.com/in/nooshin-bahador-30348950/)