Datasets:
metadata
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.