Music and Artificial Intelligence
[Opportunities]
[Projects]
[Resources]
[Conferences]
[Groups]
Opportunities
We encourage final year students to work in projects merging AI algorithms and Music:
Composition (melody creation, harmonisation, rhythmic accompaniment, ...)
Recognition (genre recognition, melody recognition, author recognition, ...)
Performance (improvisation, expresiveness, emotions, ...)
Students interested in any of these topics should contact:
Sergio Jimenez Celorrio
,
Tomás de la Rosa Turbides
Final Year Projects
An expert system for musical expressiveness (José María Gil).
An expert system for musical improvisation (Mercedes Pérez Salas).
Modelling of melodic patterns with tries (Alberto Gómez Bravo).
clasica.mid
,
blues.mid
,
metal.mid
[source]
-
[documentation]
-
[slides]
A melody harmoniser based on planning technology (Jesús Manzanares).
melody.mid
,
accompanied.mid
[source]
-
[documentation]
-
[slides]
A melody composer based on production systems (Javier Núñez Fernández).
example1.mid
,
example2.mid
[source]
-
[documentation]
-
[slides]
A music genre recogniser based on relational decision tree learning (Pablo Rodríguez Córdoba).
[source]
-
[documentation]
-
[slides]
Resources
MIDI
MusicXML
MIDI with JAVA
MusicXML with Java
The Computer Music Association
Conferences in Music Technologies
The International Conferences on Music Information Retrieval and Related Activities
International Computer Music Conference
Research Groups in Music Technologies
Guitar Lab. IIIA CSIC
Grupo de Investigación en Tecnología Musical. Universidad Pompeu Fabra de Barcelona
Computer Music Laboratory. Universidad de Alicante
