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Showing content from https://github.com/faroit/awesome-python-scientific-audio below:

faroit/awesome-python-scientific-audio: Curated list of python software and packages related to scientific research in 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.

• Audio Related Packages
  • Read/Write
  • Transformations - General DSP
  • Feature extraction
  • Data augmentation
  • Speech Processing
  • Environmental Sounds
  • Perceptial Models - Auditory Models
  • Source Separation
  • Music Information Retrieval
  • Deep Learning
  • Symbolic Music - MIDI - Musicology
  • Realtime applications
  • Web - Audio
  • Audio related APIs and Datasets
  • Wrappers for Audio Plugins
• Tutorials
• Books
• Scientific Paper
• Other Resources
• Related lists
• Contributing
• License

• Total number of packages: 66

• sed_eval 📦 - Evaluation toolbox for Sound Event Detection

• TimeSide (Beta) - high level audio analysis, imaging, transcoding, streaming and labelling.

• VamPy Host 📦 - Interface compiled vamp plugins.

• Python Data Science Handbook - Jake Vanderplas, Excellent Book and accompanying tutorial notebooks.
• Fundamentals of Music Processing - Meinard Müller, comes with Python exercises.

• 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.

• Coursera Course - Audio Signal Processing, Python based course from UPF of Barcelona and Stanford University.
• Digital Signal Processing Course - Masters Course Material (University of Rostock) with many Python examples.
• Slack Channel - Music Information Retrieval Community.

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.

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