https://github.com/accraze/audio-soup

Sample Review & Feature Selection for Audio Datasets
https://github.com/accraze/audio-soup

audio-processing feature-selection interactive-machine-learning sample-review

Last synced: 9 days ago
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Sample Review & Feature Selection for Audio Datasets

• Host: GitHub
• URL: https://github.com/accraze/audio-soup
• Owner: accraze
• License: mit
• Created: 2020-10-18T15:49:47.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-03-06T18:25:24.000Z (over 3 years ago)
• Last Synced: 2024-10-12T11:15:01.116Z (about 1 month ago)
• Topics: audio-processing, feature-selection, interactive-machine-learning, sample-review
• Language: HTML
• Homepage:
• Size: 641 KB
• Stars: 2
• Watchers: 4
• Forks: 1
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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# audio-soup

Sample review and feature selection for audio datasets.



View the demo: https://audio-soup.herokuapp.com/

## Quick Start

First make sure Docker is installed on your local machine.

Now build the required containers:

```

make start

```

Next, apply the database schema:

```

make upgrade

```

The application should now be available at 0.0.0.0:5000

## Loading a dataset

You can load your own dataset by adding the dataset within the

`src/static/dataset/` directory. The dataset should resemble the following format:

```

src/static/dataset

├── label-1

│   ├── file1.wav

│   ├── file2.wav

│   └── file-n.wav

├── label-2

│   ├── file-foo.wav

│   └── file-n.wav

└── label n...

    ├── 0a7c2a8d_null_0.wav

    └── 0a7c2a8d_null_1.wav

```

Once you have placed your dataset in the required directory, make sure you have

built the containers and then load the dataset using the following

```

make seed  'dataset_dir' 'dataset_name' 'dataset_url'

```