R0bot1ctechMG/TEST_AUDIO
Audio Classification
•
Updated
Error code: DatasetWithScriptNotSupportedError
Need help to make the dataset viewer work? Open a discussion for direct support.
AudioSet is a dataset of 10-second clips from YouTube, annotated into one or more sound categories, following the AudioSet ontology.
audio-classification
: Classify audio clips into categories. The
leaderboard is available
hereThe class labels in the dataset are in English.
Example instance from the dataset:
{
'video_id': '--PJHxphWEs',
'audio': {
'path': 'audio/bal_train/--PJHxphWEs.flac',
'array': array([-0.04364824, -0.05268681, -0.0568949 , ..., 0.11446512,
0.14912748, 0.13409865]),
'sampling_rate': 48000
},
'labels': ['/m/09x0r', '/t/dd00088'],
'human_labels': ['Speech', 'Gush']
}
Instances have the following fields:
video_id
: a string
feature containing the original YouTube ID.audio
: an Audio
feature containing the audio data and sample rate.labels
: a sequence of string
features containing the labels
associated with the audio clip.human_labels
: a sequence of string
features containing the
human-readable forms of the same labels as in labels
.The distribuion of audio clips is as follows:
balanced
configuration
train | test | |
---|---|---|
# instances | 18685 | 17142 |
unbalanced
configuration
train | test | |
---|---|---|
# instances | 1738788 | 17142 |
The labels are from the AudioSet ontology. Audio clips are from YouTube.
The AudioSet data is licensed under CC-BY-4.0
@inproceedings{jort_audioset_2017,
title = {Audio Set: An ontology and human-labeled dataset for audio events},
author = {Jort F. Gemmeke and Daniel P. W. Ellis and Dylan Freedman and Aren Jansen and Wade Lawrence and R. Channing Moore and Manoj Plakal and Marvin Ritter},
year = {2017},
booktitle = {Proc. IEEE ICASSP 2017},
address = {New Orleans, LA}
}