Learning Musical Creativity via Stochastic Transduction Grammars: Combination, Exploration and Transformation
نویسنده
چکیده
We discuss how Boden’s creative processes of combination, exploration, and transformation naturally emerge in models that learn musical improvisation via stochastic transduction grammar induction. Unlike a conventional monolingual grammar, a transduction grammar represents complex transformative relationships between one representation language and another. For musical improvisation, a transduction grammar both provides a large (typically infinite) space of possible hierarchical combinations, and defines a combinatorial space to explore. A stochastic transduction grammar (STG) allows controlled randomness in the combination and exploration. We have been developing STG based models in recent work on learning musical improvisation for hip hop, flamenco, and blues. Inducing an STG simultaneously (a) identifies chunks that will become candidates for recombination as well as patterns of combination, (b) constructs a new spaces for exploration in improvisation and composition, and (c) learns transformations from one representation to another.
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