Abstract
We present the GENRT music generation system specifically designed for making soundtracks to fit given media such as video clips. This is based on Neo-Riemannian Theory (NRT), an analytical approach to describing chromatic chord progressions. We describe the implementation of GENRT in terms of a generative NRT formalism, which produces suitable chord sequences to fit the timing and atmosphere requirements of the media. We provide an illustrative example using GENRT to produce a soundtrack for a clip from the film A Beautiful Mind.
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Colton, S., & Cardinale, S. (2023). Extending Generative Neo-Riemannian Theory for Event-Based Soundtrack Production. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13988 LNCS, pp. 67–83). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-29956-8_5
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