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--- |
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annotations_creators: |
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- unknown |
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language_creators: |
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- unknown |
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license: cc-by-sa-4.0 |
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size_categories: |
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- 100K<n<100M |
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source_datasets: |
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- unknown |
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task_categories: |
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- audio-classification |
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task_ids: [] |
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tags: |
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- audio-slot-filling |
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--- |
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# Dataset Card for audioset2022 |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [AudioSet Ontology](https://research.google.com/audioset/ontology/index.html) |
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- **Repository:** [Needs More Information] |
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- **Paper:** [Audio Set: An ontology and human-labeled dataset for audio events](https://research.google.com/pubs/pub45857.html) |
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- **Leaderboard:** [Paperswithcode Leaderboard](https://paperswithcode.com/dataset/audioset) |
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### Dataset Summary |
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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. |
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**This repository only includes audio files for DCASE 2022 - Task 3** |
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The included labels are limited to: |
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- Female speech, woman speaking |
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- Male speech, man speaking |
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- Clapping |
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- Telephone |
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- Telephone bell ringing |
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- Ringtone |
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- Laughter |
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- Domestic sounds, home sounds |
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- Vacuum cleaner |
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- Kettle whistle |
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- Mechanical fan |
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- Walk, footsteps |
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- Door |
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- Cupboard open or close |
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- Music |
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- Background music |
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- Pop music |
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- Musical instrument |
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- Acoustic guitar |
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- Marimba, xylophone |
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- Cowbell |
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- Piano |
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- Electric piano |
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- Rattle (instrument) |
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- Water tap, faucet |
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- Bell |
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- Bicycle bell |
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- Chime |
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- Knock |
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### Supported Tasks and Leaderboards |
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- `audio-classification`: The dataset can be used to train a model for Sound Event Detection/Localization. |
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**The recordings only includes the single channel audio. For Localization tasks, it will required to apply RIR information** |
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### Languages |
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None |
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## Dataset Structure |
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### Data Instances |
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**WIP** |
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``` |
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{ |
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'file': |
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} |
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``` |
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### Data Fields |
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- file: A path to the downloaded audio file in .mp3 format. |
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### Data Splits |
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This dataset only includes audio file from the unbalance train list. |
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The data comprises two splits: weak labels and strong labels. |
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## Dataset Creation |
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### Curation Rationale |
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[Needs More Information] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[Needs More Information] |
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#### Who are the source language producers? |
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[Needs More Information] |
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### Annotations |
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#### Annotation process |
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[Needs More Information] |
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#### Who are the annotators? |
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[Needs More Information] |
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### Personal and Sensitive Information |
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[Needs More Information] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[Needs More Information] |
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## Additional Information |
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### Dataset Curators |
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The dataset was initially downloaded by Nelson Yalta ([email protected]). |
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### Licensing Information |
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[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0) |
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### Citation Information |
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``` |
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@inproceedings{45857, |
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title = {Audio Set: An ontology and human-labeled dataset for audio events}, |
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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}, |
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year = {2017}, |
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booktitle = {Proc. IEEE ICASSP 2017}, |
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address = {New Orleans, LA} |
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} |
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``` |
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