Fhrozen/AudioSet2K22

Dataset Card for audioset2022

Dataset Summary

The AudioSet ontology is a collection of sound events organized in a hierarchy. The ontology covers a wide range of everyday sounds, from human and animal sounds, to natural and environmental sounds, to musical and miscellaneous sounds.

This repository only includes audio files for DCASE 2022 - Task 3

The included labels are limited to:

• Female speech, woman speaking
• Male speech, man speaking
• Clapping
• Telephone
• Telephone bell ringing
• Ringtone
• Laughter
• Domestic sounds, home sounds
• Vacuum cleaner
• Kettle whistle
• Mechanical fan
• Walk, footsteps
• Door
• Cupboard open or close
• Music
• Background music
• Pop music
• Musical instrument
• Acoustic guitar
• Marimba, xylophone
• Cowbell
• Piano
• Electric piano
• Rattle (instrument)
• Water tap, faucet
• Bell
• Bicycle bell
• Chime
• Knock

Supported Tasks and Leaderboards

• audio-classification: The dataset can be used to train a model for Sound Event Detection/Localization.

The recordings only includes the single channel audio. For Localization tasks, it will required to apply RIR information

Languages

None

Dataset Structure

Data Instances

WIP

{
    'file': 

}

Data Fields

• file: A path to the downloaded audio file in .mp3 format.

Data Splits

This dataset only includes audio file from the unbalance train list. The data comprises two splits: weak labels and strong labels.

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

The dataset was initially downloaded by Nelson Yalta (nelson.yalta@ieee.org).

Licensing Information

CC BY-SA 4.0

Citation Information

@inproceedings{45857,
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}
}