Analysis and Synthesis of Palestrina-Style Counterpoint Using Markov Chains

نویسندگان

  • Mary Farbood
  • Bernd Schöner
چکیده

This paper presents a novel approach to computergenerated Palestrina-style counterpoint using probabilistic Markov Chains. It is shown how Markov Chains adequately capture the rules of species counterpoint and how they can be used to synthesize species counterpoint given a cantus firmus. It is also shown how such rules can be inferred from given counterpoint examples.

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تاریخ انتشار 2001