Title :
Music Generation with Markov Models
Author :
Schulze, Walter ; Van der Merwe, Brink
Author_Institution :
Stellenbosch Univ., Stellenbosch, South Africa
fDate :
3/1/2011 12:00:00 AM
Abstract :
By using music written in a certain style as training data, parameters can be calculated for Markov chains and hidden Markov models to capture the musical style of the training data as mathematical models.
Keywords :
hidden Markov models; music; Markov chains; hidden Markov models; music generation; training data; Automata; Hidden Markov models; Human factors; Music generation; Predictive models; Speech processing; Training data; algorithmic music composition; hidden Markov models; probabilistic automata;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2010.44
