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--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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splits: |
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- name: train |
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num_bytes: 540419096.23 |
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num_examples: 1155 |
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download_size: 532918294 |
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dataset_size: 540419096.23 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Dataset Card for Myrtle/CAIMAN-ASR-BackgroundNoise |
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This dataset provides background noise audio, suitable for noise augmentation |
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while training [Myrtle.ai's](https://myrtle.ai/) CAIMAN-ASR models. |
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## Dataset Details |
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### Dataset Description |
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Curated by: [Myrtle.ai](https://myrtle.ai/) |
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License: Myrtle.ai's modifications to the source data are licensed under |
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the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. |
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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. |
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Please see the Source Data section below for more information. |
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## Uses |
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The noise audio is intended to be combined with speech audio at |
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signal-to-noise ratios in the range 0--60 dB. |
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## Dataset Structure |
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This dataset contains 1155 audios, all in the train split. |
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You can access the first audio like this: |
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```python |
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>>> import datasets |
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>>> noise = datasets.load_dataset("Myrtle/CAIMAN-ASR-BackgroundNoise") |
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>>> noise["train"][0]["audio"]["array"] |
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array([-0.17913818, -0.26080322, -0.1835022 , ..., -0.26644897, |
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-0.2434082 , -0.25830078]) |
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``` |
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All of the data is 16 kHz and single-channel. |
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## Dataset Creation |
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### Source Data |
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- 843 of the audios originate from |
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[Free Sound](https://www.freesound.org), |
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as collected for the [MUSAN](https://www.openslr.org/17/) dataset. All these audios are in the public domain. |
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- The remaining 312 audios were collected from YouTube videos marked as [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/). |
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Specific attributions are [here](./youtube_attributions.md) |
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#### Data Collection and Processing |
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Any audio with understandable human speech was filtered out. |
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Random 20s segments of the YouTube audio were selected. |
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#### Personal and Sensitive Information |
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Contains no personal information |
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## Bias, Risks, and Limitations |
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This dataset contains a large variety of background noises, but not all |
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types of background noise are included. If your target validation dataset |
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has a type of background noise not included here, then using this |
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noise dataset for augmentation may not help. |
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If your training dataset already contains significant amounts of |
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background noise, then training with noise augmentation may not be |
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necessary. |
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## Dataset Card Contact |
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[email protected] |
