About

Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is an open source software framework for audio processing with specific emphasis on Music Information Retrieval applications. It has been designed and written by George Tzanetakis (gtzan@cs.uvic.ca) with help from students and researchers from around the world. Marsyas has been used for a variety of projects in both academia and industry.

Featured Project

Moodlogic

Marsyas was used to design and prototype the audio fingerprinting technology used to link user files to metadata and fix ID3 tags by the Moodlogic client. The fingerprint is small (about 300 bytes/file), is fast to compute, and matching is performed to a database of 1.5 million songs)

Featured Developer

Coder and Code Styler Stefaan Lippens

Affiliation : Ghent University, Belgium

My first encounter with Marsyas was in 2002. It was used for my master thesis at Ghent University on the topic of automatic musical genre classification. After completing my electrical engineering studies, I started working in the field of image processing and obtained my PhD on halftoning and printing. Since 2008 I'm back in the field of audio and music processing, now as a post-doctoral researcher at the Digital Speech and Signal Processing research group of Ghent University. The research revolves around music information retrieval and is bridged with an outside company. Together we focus on large scale automatic extraction of several music characteristics such as musical genre and rhythm style. My main Marsyas activities and contributions are situated in the core MarSystems and the Python bindings.

Featured Web Demo

Neil's Skookum MarSystem Network Constructor Neil's Skookum MarSystem Network Constructor

A Java web applet built with Processing that allows users to construct Marsyas networks inside a web browser.

Featured Video

Somba

Samba rhythm creation using the Wii-Mote, Open Sound Control and Marsyas