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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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audio-soup's Issues

Dataset loader includes non-audio files

When using the load-dataset CLI command, additional non-audio files are being added (like .DS_Store).
The script should check to make sure it is only adding audio files to the dataset and skip non-audio files.

Feature Comparison across different samples

Users should have the ability to compare features across different audio samples.

This would most likely be a separate view, like :/compare?sample_id1=333&sample_id2=444&feature_type=spectral

Expand Delta features

The “Deltas” features should eventually be expanded into something like a “Feature Manipulation” or “Feature Augmentation” filter, which would allow users to perform different types of transformations or filters across all the files in a dataset. A sandbox would be helpful for users to experiment with adding different manipulation types prior to applying the changes across the dataset.

Feature card links

All url links on feature cards should open in a new tab, instead of navigating away from the current page.

Create Feature Extractor module

There is a ton of duplicated code related to feature extraction and image generation.
It is all currently in src/public/views.py and should be moved into it's own class or module somewhere else.

Load-dataset command

There should be more documentation (and maybe testing) of the load-dataset command.
This would include docstrings/comments/README updates.

Deltas graph error

There's an issue with how the MFCC delta's graph gets generated, especially with how the higher-order labels get covered by the above graph. See screenshot below:

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