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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.
Author (s): Stables, Ryan; Bullock, Jamie; Williams, Ian
Affiliation:
Birmingham City University, Birmingham, UK
(See document for exact affiliation information.)
AES Convention: 131
Paper Number:8478
Publication Date:
2011-10-06
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Session subject:
Audio Processing
Permalink: https://aes2.org/publications/elibrary-page/?id=16004
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Stables, Ryan; Bullock, Jamie; Williams, Ian; 2011; Perceptually Relevant Models for Articulation in Synthesised Drum Patterns [PDF]; Birmingham City University, Birmingham, UK; Paper 8478; Available from: https://aes2.org/publications/elibrary-page/?id=16004
Stables, Ryan; Bullock, Jamie; Williams, Ian; Perceptually Relevant Models for Articulation in Synthesised Drum Patterns [PDF]; Birmingham City University, Birmingham, UK; Paper 8478; 2011 Available: https://aes2.org/publications/elibrary-page/?id=16004