TY - GEN
T1 - Probabilistic prediction of rhythmic characteristics in Markov chain-based melodic sequences
AU - Kim, Bongjun
AU - Yeo, Woon Seung
PY - 2013
Y1 - 2013
N2 - Markov chain models have been widely used for algorithmic composition and machine improvisation. In this paper, we introduce a probabilistic prediction model of rhythmic characteristics of Markov chain-based note sequences. For this purpose, we propose an algorithm to generate a revised Markov chain model and calculate the onset probabilities of notes at each onset position in one measure. As an application of this algorithm, we present an interactive improvisation system which uses a customized syncopation index as an input parameter and allows the user to control the level of syncopation and rhythmic tension in real-time.
AB - Markov chain models have been widely used for algorithmic composition and machine improvisation. In this paper, we introduce a probabilistic prediction model of rhythmic characteristics of Markov chain-based note sequences. For this purpose, we propose an algorithm to generate a revised Markov chain model and calculate the onset probabilities of notes at each onset position in one measure. As an application of this algorithm, we present an interactive improvisation system which uses a customized syncopation index as an input parameter and allows the user to control the level of syncopation and rhythmic tension in real-time.
UR - https://www.scopus.com/pages/publications/84906077780
M3 - Conference contribution
AN - SCOPUS:84906077780
SN - 9780984527427
T3 - Proceedings of the 2013 ICMC Conference: International Developments in Electroacoustics
SP - 418
EP - 421
BT - Proceedings of the 2013 ICMC Conference
PB - International Computer Music Association
T2 - 39th International Computer Music Conference, ICMC 2013
Y2 - 11 August 2013 through 17 August 2013
ER -