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HarmonyRFG: Bridging Music Theory and Deep Learning through Spiking Neural Networks for Innovative Chord Progression Generation

2026-02-27

Abstract excerpt

<title>Abstract</title> <p>This research proposes a new music generation model Harmony Rule-based Forward Generation that integrates traditional harmony rules and deep learning. The model combines the global modeling capability of Transformer with the temporal perception characteristics of Spiking Neural Networks, effectively improving the artistry and logic of generated chord sequences. By introducing Markov cha...

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Literature Corpus work
bfefd19c-5642-5d48-a4c1-37fd158c8cfe
DOI
10.21203/rs.3.rs-8757335/v1
Open publication

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HarmonyRFG: Bridging Music Theory and Deep Learning through Spiking Neural Networks for Innovative Chord Progression GenerationDOI 10.21203/rs.3.rs-8757335/v1
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