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1st International Workshop on Reading Music Systems


Paris, September 20

PRAIg '18 / +pics


11th international workshop on Machine Learning and Music


Stockholm: 13-15th July 2018

Computer-assisted music composition

Sergio Ribes Miró


Degree in Sound and Image in Telecommunication

Polytechnic School. University of Alicante.

The algorithmic composition uses very diverse techniques to obtain musical works generated by formal processes. One of them is to compose sequences of notes based on the probabilities that a given note is preceded by another, a technique known as Markov Chain. These probabilities can be estimated from examples of compositions. More recent versions of the Csound system include tools whose use for this purpose have not yet been properly explored. This project focuses on studying these tools, by designing and implementing a system capable of composing a simple musical sequence using Markov chains, after having been trained using previous compositions. The designed system consists of two parts, the first one receives the MIDI files that the user wants to use as examples and 'trains' the system, generating the matrices that are used in the Markov process. The second part retrieves t


technical report (in Spanish)

A number of degree students are doing their academic works in our group in diferent tasks related to pattern recognition and artificial intelligence research and development. You can follow this link to know more about some of those projects.

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