## Audio-related Computer Science

* :scroll: [An ethnographic and technological study of breakbeats in Hardcore, Jungle, and Drum & Bass](an-ethnographic-and-technological-study-of-breakbeats.pdf) by Jason A. Hockman 

* :scroll: [An Industrial-Strength Audio Search Algorithm](shazam-audio-search-algorithm.pdf) by Avery Li-Chun Wang

* [WaveNet: A Generative Model for Raw Audio](https://arxiv.org/pdf/1609.03499.pdf) by a team @ Google DeepMind, 2016
    * [Announcement and interactive examples](https://www.deepmind.com/blog/wavenet-a-generative-model-for-raw-audio)
    * [[Python] Implementation with the Keras Neural Networks library](https://github.com/basveeling/wavenet)
    * [[Python] Implementation with the TensorFlow Machine Intelligence library](https://github.com/ibab/tensorflow-wavenet)

* :scroll: [Real time chord recognition for live performance](real-time-chord-detection.pdf) by Adam M. Stark, Mark D. Plumbley
    * [[C++] Implementation of real time chord detection](https://github.com/adamstark/Chord-Detector-and-Chromagram)

* :scroll: [ESSENTIA: An Audio Analysis Library for MusicInformation Retrieval](essentia.pdf) by Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain
    * [[C++] Essential open source library](https://github.com/MTG/essentia)

* :scroll: [MARSYAS: A framework for audio analysis](marsyas.pdf) by George Tzanetakis and Perry Cook
    * [[C++] Marsyas open source audio processing framework](https://github.com/marsyas/marsyas)