jpdiazpardo
commited on
Commit
•
49cdab9
1
Parent(s):
23b397d
Update README.md
Browse files
README.md
CHANGED
@@ -40,11 +40,19 @@ size_categories:
|
|
40 |
# Dataset card for Scream Detection in Heavy Metal Music
|
41 |
This dataset contains the processed dataset used in the paper "Scream Detection in Heavy Metal Music" (Kalbag & Lerch, 2022) from the Georgia Institute of Technology.
|
42 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
43 |
**Paper:** [Scream Detection in Heavy Metal Music](https://arxiv.org/pdf/2205.05580.pdf)
|
44 |
|
45 |
Kalbag, V., & Lerch, A. (2022). Scream detection in heavy metal music. arXiv preprint arXiv:2205.05580.
|
46 |
|
47 |
-
|
48 |
### How to use
|
49 |
Load the dataset from huggingface in your notebook:
|
50 |
```python
|
|
|
40 |
# Dataset card for Scream Detection in Heavy Metal Music
|
41 |
This dataset contains the processed dataset used in the paper "Scream Detection in Heavy Metal Music" (Kalbag & Lerch, 2022) from the Georgia Institute of Technology.
|
42 |
|
43 |
+
This dataset contains annotations of 57 songs, distributed over 34 bands and 47 albums. The vocal events are labelled into 5 classes:
|
44 |
+
|
45 |
+
Clean (or sung vocal)
|
46 |
+
Low Fry Scream
|
47 |
+
Mid Fry Scream
|
48 |
+
High Fry Scream
|
49 |
+
Layered Vocals
|
50 |
+
The label "Layered Vocals" has been applied to cases where there are examples of two or more classes present simultaneously.
|
51 |
+
|
52 |
**Paper:** [Scream Detection in Heavy Metal Music](https://arxiv.org/pdf/2205.05580.pdf)
|
53 |
|
54 |
Kalbag, V., & Lerch, A. (2022). Scream detection in heavy metal music. arXiv preprint arXiv:2205.05580.
|
55 |
|
|
|
56 |
### How to use
|
57 |
Load the dataset from huggingface in your notebook:
|
58 |
```python
|