A tool for content based navigation of music
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Frankensteinian methods for evolutionary music composition
Musical networks
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
GenJam: evolution of a jazz improviser
Creative evolutionary systems
Automatic composition of music by means of grammatical evolution
APL '02 Proceedings of the 2002 conference on APL: array processing languages: lore, problems, and applications
A First Look at Music Composition using LSTM Recurrent Neural Networks
A First Look at Music Composition using LSTM Recurrent Neural Networks
Generative model for the creation of musical emotion, meaning, and form
ETP '03 Proceedings of the 2003 ACM SIGMM workshop on Experiential telepresence
Content-based music structure analysis with applications to music semantics understanding
Proceedings of the 12th annual ACM international conference on Multimedia
A case based approach to expressivity-aware tempo transformation
Machine Learning
Music knowledge analysis: towards an efficient representation for composition
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Fractals, fuzzy logic and expert systems to assist in the construction of musical pieces
Expert Systems with Applications: An International Journal
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Music is a form of expression. Since machines have limited capabilities in this sense, our main goal is to model musical composition process, to allow machines to express themselves musically. Our model is based on a linguistic approach. It describes music as a language composed of sequences of symbols that form melodies, with lexical symbols being sounds and silences with their duration in time. We determine functions to describe the probability distribution of these sequences of musical notes and use them for automatic music generation.