|
|
--- |
|
|
pretty_name: Neural Watermarking Clips |
|
|
tags: |
|
|
- audio |
|
|
- music |
|
|
- environmental-sound |
|
|
task_categories: |
|
|
- audio-classification |
|
|
dataset_info: |
|
|
features: |
|
|
- name: audio |
|
|
dtype: audio |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 26424210009 |
|
|
num_examples: 31283 |
|
|
download_size: 32731834529 |
|
|
dataset_size: 26424210009 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
--- |
|
|
|
|
|
# Neural Watermarking Clips |
|
|
|
|
|
## Summary |
|
|
|
|
|
This dataset contains 31 284 short audio clips collected as an unlabeled corpus for neural audio watermarking experiments. The clips cover environmental sounds, bird vocalizations, polyphonic music with predominant instruments and synthetic but realistic jazz drums and ragtime style piano. |
|
|
|
|
|
Source folders and file counts |
|
|
|
|
|
- ARCA23K.audio 13 470 clips |
|
|
- ff101bird 7 690 clips |
|
|
- IRMAS training 6 706 clips |
|
|
- WaivOps ragtime piano 1 743 clips |
|
|
- WaivOps jazz drums 1 675 clips |
|
|
|
|
|
Users should check the original datasets for labels and exact licensing conditions and ensure that any use of this combined corpus follows those licenses. |
|
|
|
