Curated list of awesome lists
Python for Scientific Audio
The aim of this repository is to create a comprehensive, curated list of python software/tools related and used for scientific research in audio/music applications.
- Total number of packages: 66
Transformations - General DSP
Perceptial Models - Auditory Models
Music Information Retrieval
Symbolic Music - MIDI - Musicology
Audio Dataset and Dataloaders
Wrappers for Audio Plugins
Python for audio signal processing - John C. Glover, Victor Lazzarini and Joseph Timoney, Linux Audio Conference 2011.
librosa: Audio and Music Signal Analysis in Python, Video - Brian McFee, Colin Raffel, Dawen Liang, Daniel P.W. Ellis, Matt McVicar, Eric Battenberg, Oriol Nieto, Scipy 2015.
pyannote.audio: neural building blocks for speaker diarization, Video - Hervé Bredin, Ruiqing Yin, Juan Manuel Coria, Gregory Gelly, Pavel Korshunov, Marvin Lavechin, Diego Fustes, Hadrien Titeux, Wassim Bouaziz, Marie-Philippe Gill, ICASSP 2020.
There is already PythonInMusic but it is not up to date and includes too many packages of special interest that are mostly not relevant for scientific applications. Awesome-Python is large curated list of python packages. However, the audio section is very small.
Your contributions are always welcome! Please take a look at the contribution guidelines first.
I will keep some pull requests open if I'm not sure whether those libraries are awesome, you could vote for them by adding 👍 to them.