Links and Code
This website provides links to books, code, and courses related to audio-based music processing and music information retrieval (MIR). Many more useful links and resources can be found on the website of the International Society for Music Information Retrieval (ISMIR).
Code for Music Processing
| Description | Link |
|---|---|
| The website musicinformationretrieval.com maintained by Steve Tjoa offers a collection of instructional MIR material containing a mix of casual conversation, technical discussion, and Python code. | Link |
| The repository Python for Scientific Audio provides a comprehensive, curated list of python software tools related and used for scientific research in audio and music applications. | Link |
| Essentia is an open-source C++ library for audio-based music processing algorithms. | Link |
| LibRosa is a python package for music and audio processing. | Link |
| Time-scale Modification (TSM) Toolbox is a collection of MATLAB implementations of various classical time-scale modification algorithms like OLA, WSOLA, and the phase vocoder, among more recent advances. | Link |
| Chroma Toolbox is a collection of MATLAB implementations for extracting various types of novel pitch-based and chroma-based audio features. | Link |
| Tempogram Toolbox is a collection of MATLAB implementations for extracting various types of recently proposed tempo and pulse related audio representations. | Link |
| Similarity Matrix (SM) Toolbox is a collection of MATLAB implementations for computing and enhancing similarity matrices in various ways. | Link |
Related Books on Music Processing
| Description | Link |
|---|---|
| William A. Sethares. Tuning, Timbre, Spectrum, Scale. Springer, London, 1998 | Link |
| Anssi P. Klapuri and Manuel Davy, editors. Signal Processing Methods for Music Transcription. Springer, New York, 2006 | Link |
| William Arthur Sethares. Rhythm and Transforms. Springer, 2007 | Link |
| Meinard Müller. Information Retrieval for Music and Motion. Springer, 2007 | Link |
| Òscar Celma. Music Recommendation and Discovery: The Long Tail, Long Fail, and Long Play in the Digital Music Space. Springer, 2010 | Link |
| Alexander Lerch. An Introduction to Audio Content Analysis. Wiley, 2012 | Link |
| Meinard Müller. Fundamentals of Music Processing. Springer, 2015 | Link |
| Peter Knees and Markus Schedl. Music Similarity and Retrieval: An Introduction to Audio- and Web-based Strategies. Springer, 2016 | Link |
| Claus Weihs, Dietmar Jannach, Igor Vatolkin, Guenter Rudolph. Music Data Analysis: Foundations and Applications. Chapman & Hall/CRC Computer Science & Data Analysis, 2016 | Link |
Courses on Music Processing and MIR Using the Book
| Description | Link |
|---|---|
| Course on Music Informatics (DT2470), Electrical Engineering and Computer Science, KTH, Sweden | Link |
| CCRMA Summer Workshops on Music Information Retrieval, Department of Music, Stanford University, USA | Link |
| Course on Fundamentals of Music Processing (21M.387), Music Technology, MIT, USA | Link |
| Course on Computer Audition (ECE 277/477 ), ECE Department, University of Rochester, USA | Link |
| Course on Machine Perception of Music and Audio, EECS Department, Northwestern Universtiy, USA | Link |
| Course on Music Information Retrieval, New York University, USA | Link |
| Course on Music Information Retrieval, Tsing Hua University, Taiwan | Link |
| Course on Sound Technology for Multimedia, KAIST, Korea | Link |
| Course on Music Information Retrieval, KAIST, Korea | Link |
| Course on Music Processing Analysis, International Audio Laboratories Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany | Link |