Extracts the melody notes from an audio file and exports them to MIDI and JAMS files.
The script extracts the melody from an audio file using the Melodia algorithm, and then segments the continuous pitch sequence into a series of quantized notes, and exports to MIDI using the provided BPM.
python main.py [--folder FOLDER_NAME] [--bpm BPM] [--smooth SMOOTH] [--minduration MINDURATION] [--jams]For example:
python main.py --folder assets/COGNIMUSE/ --bpm 146 --smooth 0.25 --minduration 0.1 --jams- wav to mp3:
ffmpeg -i assets/test/10.wav assets/test/10.mp3
- Find out bpm (146 in my case):
bpm-tag assets/test/10.mp3
- wav to mid:
python audio_to_midi_melodia.py assets/test/10.wav assets/test/10.mid 146 --smooth 0.25 --minduration 0.1 --jams
- mid to wav converter
timidity 10.mid -Ow -o 10_recovered.wav- Install dependencies:
pip install vamp jams numpy scipy- Librosa
git clone https://github.com/librosa/librosa
cd dependencies/librosa
python setup.py build
python setup.py installcd dependencies/MIDIUtil-0.89
python setup.py install- Download Melodia plugin and copy all files to /usr/local/lib/vamp
- Audio tools
pip install pydub
apt-get install ffmpeg bpm-tools
apt-get install timidity timidity-interfaces-extra
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent