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

Orelia - Sound Source Recognition

Orelia (http://www.orelia.fr) is using Marsyas as a calculation engine in his Sound Source Recognition Software (OSSR). OSSR automatically recognize noise sources like aircraft noise, railway noise, road traffic noise etc. The product is used by acousticians to perform environmental noise assessment, complementing the sound pressure level. Marsyas provides fast calculation and helps OSSR to process large amounts of audiofiles in a very resonable time - Boris Defréville and Rémi Poittevin.

Featured Developer

Fabiano Fidêncio

Affiliation : University of Campinas (UNICAMP)

I'm a Brazilian software developer/free software enthusiast that found out Marsyas in an Artificial Intelligence's project for University, on topic automatic musical genre classification. Working with free software since 2009, in 2011 I started to work on OS X's ports/bug fixes and it will be my task here. :-).

Featured Web Demo

CAL500 CAL500

The CAL500 dataset is a collection of songs curated by Doug Turnbull which has 500 songs of a variety of genres, each of which has been tagged with a variety of semantic tags by human listeners.

We recently used Marsyas to predict tags for each of the songs in this collection using a new technique called stacked generalization. Check it out at cal500.sness.net.

Featured Video

Lego Robot dancing with rhythm (II)

Lego robot made by Joao Lobato dancing while listening to music. The rhythmic analysis is performed using Marsyas.