---
dataset_info:
  features:
  - name: audio
    dtype: audio
  splits:
  - name: train
    num_bytes: 540419096.23
    num_examples: 1155
  download_size: 532918294
  dataset_size: 540419096.23
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Card for Myrtle/CAIMAN-ASR-BackgroundNoise

This dataset provides background noise audio, suitable for noise augmentation
while training [Myrtle.ai's](https://myrtle.ai/) CAIMAN-ASR models.

## Dataset Details

### Dataset Description

Curated by: [Myrtle.ai](https://myrtle.ai/)

License: Myrtle.ai's modifications to the source data are licensed under
  the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
  Some of the original data is under the [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/) license; the rest is in the public domain. 
  Please see the Source Data section below for more information.

## Uses

The noise audio is intended to be combined with speech audio at 
signal-to-noise ratios in the range 0--60 dB.

## Dataset Structure

This dataset contains 1155 audios, all in the train split.

You can access the first audio like this:
```python
>>> import datasets
>>> noise = datasets.load_dataset("Myrtle/CAIMAN-ASR-BackgroundNoise")
>>> noise["train"][0]["audio"]["array"]
array([-0.17913818, -0.26080322, -0.1835022 , ..., -0.26644897,
       -0.2434082 , -0.25830078])
```
All of the data is 16 kHz and single-channel.


## Dataset Creation

### Source Data

- 843 of the audios originate from
[Free Sound](https://www.freesound.org), 
as collected for the [MUSAN](https://www.openslr.org/17/) dataset. All these audios are in the public domain.
- The remaining 312 audios were collected from YouTube videos marked as [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/).
  Specific attributions are [here](./youtube_attributions.md)


#### Data Collection and Processing

Any audio with understandable human speech was filtered out.

Random 20s segments of the YouTube audio were selected.


#### Personal and Sensitive Information

Contains no personal information

## Bias, Risks, and Limitations

This dataset contains a large variety of background noises, but not all
types of background noise are included. If your target validation dataset
has a type of background noise not included here, then using this 
noise dataset for augmentation may not help.

If your training dataset already contains significant amounts of 
background noise, then training with noise augmentation may not be
necessary.


## Dataset Card Contact

hello@myrtle.ai