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Sample Review & Feature Selection for Audio Datasets

License: MIT License

Python 41.99% Mako 0.77% HTML 51.44% CSS 2.26% JavaScript 1.83% Dockerfile 0.51% Makefile 1.21%

audio-soup's Introduction

GitHub release (latest SemVer) GitHub Docker Pulls

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'

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