https://github.com/csteinmetz1/amida
audio mixing interface for data acquisition
Science Score: 13.0%
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○CITATION.cff file
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○Scientific vocabulary similarity
Low similarity (8.1%) to scientific vocabulary
Repository
audio mixing interface for data acquisition
Basic Info
- Host: GitHub
- Owner: csteinmetz1
- Language: Python
- Default Branch: master
- Size: 3.26 MB
Statistics
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
amida
audio mixing interface for data acquisition
Demo
Setup
Clone this repo
git clone https://github.com/csteinmetz1/amida
Install python and node stuff
cd amida
npm install
pip install -r requirements.txt
Get complete DSD100 dataset (~14 GB), unzip, and move sources
curl http://liutkus.net/DSD100.zip
unzip DSD100.zip
./scripts/move.sh
Run audio preprocessing script store samples into output/
python scripts/process.py DSD100/ output/
Create a new Firebase project and then create a src/keys.js file that contains firebase admin api info
Launch the webserver in development mode
npm run dev
Preprocessing
This process will examine each song in the dataset and find the 30 second section with the greatest RMS energy (where all elements are active). The results of the process will be stored in output/ and will have the directory structure as shown below. Each song will have a directory within output/ with separate directories for stereo and mono stems. All stems have been loudness normalized to -28 dB LUFS.
```
.
├── ...
├── output
| ├── 005 - Angela Thomas Wade - Milk Cow Blues
| | ├── stereo
| | | ├── bass.wav
| | | ├── drums.wav
| | | ├── other.wav
| | | └── vocals.wav
| | └── mono
| | ├── bass.wav
| | ├── drums.wav
| | ├── other.wav
| | └── vocals.wav
| |
| └── 049 - Young Griffo - Facade
| | ├── stereo
| | | ├── bass.wav
| | | ├── drums.wav
| | | ├── other.wav
| | | └── vocals.wav
| | └── mono
| | ├── bass.wav
| | ├── drums.wav
| | ├── other.wav
| | └── vocals.wav
| └── ...
└── ...
```
Owner
- Name: Christian J. Steinmetz
- Login: csteinmetz1
- Kind: user
- Location: London, UK
- Company: @aim-qmul
- Website: christiansteinmetz.com
- Twitter: csteinmetz1
- Repositories: 79
- Profile: https://github.com/csteinmetz1
Machine learning for Hi-Fi audio. PhD Researcher at C4DM.
GitHub Events
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Last synced: over 1 year ago
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- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
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- Issue authors: 0
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- Average comments per issue: 0
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- Merged pull requests: 0
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- Bot pull requests: 0
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Dependencies
- 422 dependencies
- @types/cookie-parser ^1.4.1
- @types/express ^4.16.0
- @types/express-session ^1.15.12
- body-parser ^1.18.3
- cookie-parser ^1.4.4
- ejs ^2.6.1
- express ^4.16.3
- express-session ^1.15.6
- firebase-admin ^7.0.0
- tone ^13.4.9
- ts-node-dev ^1.0.0-pre.30
- typescript ^3.1.1
- librosa ==0.5.1
- numpy ==1.14.2
- soundfile ==0.9.0