Datasets:
metadata
dataset_info:
features:
- name: audio
dtype: audio
- name: label
dtype: string
splits:
- name: train
num_bytes: 2972583582.24
num_examples: 9418
- name: validation
num_bytes: 335149610.534
num_examples: 1059
- name: test
num_bytes: 1114463859.732
num_examples: 3517
download_size: 4328763714
dataset_size: 4422197052.506
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: cc-by-4.0
task_categories:
- audio-classification
language:
- en
Audioset-Nonspeech
Audioset-Nonspeech is a processed version of the well-known agkphysics/AudioSet dataset. The processing was performed to remove all audio recordings that may contain clearly distinguishable human speech, leaving only non-speech audio recordings. The resulting Audioset-Nonspeech dataset can be used not only for audio event classification but also for augmentation (mixing with a specified signal-to-noise ratio) of speech recordings when training speech recognition models.
Description
For each example, the following is provided:
- Link to the audio data (
audio) - List of class labels, separated by semicolons (
label)
Usage example
from datasets import load_dataset
ds = load_dataset("bond005/audioset-nonspeech")