Florian Colombo

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A big challenge in algorithmic composition is to devise a model that is both easily trainable and able to reproduce the long-range temporal dependencies typical of music. Here we investigate how artificial neural networks can be trained on a large corpus of melodies and turned into automated music composers able to generate new melodies coherent with the(More)
Acknowledgements I sincerely thanks Alex Seeholzer, who supervised my work, for his more than helpful advices and ideas, Klaus Greff from IDSIA, who kindly answered some of my questions about the long short term memory networks and Pr. Wulfram Gerstner, who gave me the opportunity to join my studies with my passion for music. Lausanne, January 2015 F. C. i(More)
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