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An Approach to Adding Knowledge Constraints to a Data-driven Generative Model for Carnatic Rhythm Sequence Computational models for generative music have been a recent trend in AI based technology developments. However, an entirely data-driven strategy often falls short of capturing the naturally occurring rhythmic grouping. Guedes et al. [1, 2] had proposed dictionary based and …

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