Perceptually relevant models for articulation in synthesised drum patterns

Stables, R. and Bullock, J. and Williams, I. (2011) Perceptually relevant models for articulation in synthesised drum patterns. In: 131st Audio Engineering Society Convention 2011; New York, NY; United States; 20 October 2011 through 23 October 2011, 20 October 2011 through 23 October 2011, New York, NY; United States.

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Abstract

In this study, we evaluate current techniques for drum pattern humanisation and suggest new methods using a probabilistic model. Our statistical analysis shows that both deviations from a fixed grid and corresponding amplitude values of drum patterns can have non-Gaussian distributions with underlying temporal structures. We plot distributions and probability matrices of sequences played by humans in order to demonstrate this. A new method for humanisation with structural preservation is proposed, using a Markov Chain and an Empirical Cumulative Distribution Function (ECDF) in order to weight pseudorandom variables. Finally we demonstrate the perceptual relevance of these methods using paired listening tests.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Empirical cumulative distribution functions, Fixed grids, Listening tests, Non-gaussian distribution, Probabilistic models, Pseudo random, Temporal structures, Markov processes, Probability distributions
Subjects: G400 Computer Science
W300 Music
Divisions: UoA Collections > UoA11: Computer Science and Informatics
Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Digital Media Technology
Depositing User: Hussen Farooq
Date Deposited: 20 Jul 2016 09:43
Last Modified: 20 Jul 2016 09:43
URI: http://www.open-access.bcu.ac.uk/id/eprint/2043

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