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An LSTM-Based Chord Generation System Using Chroma Histogram Representations

Sound 2024-05-09 v1 Machine Learning Audio and Speech Processing

Abstract

This paper proposes a system for chord generation to monophonic symbolic melodies using an LSTM-based model trained on chroma histogram representations of chords. Chroma representations promise more harmonically rich generation than chord label-based approaches, whilst maintaining a small number of dimensions in the dataset. This system is shown to be suitable for limited real-time use. While it does not meet the state-of-the-art for coherent long-term generation, it does show diatonic generation with cadential chord relationships. The need for further study into chroma histograms as an extracted feature in chord generation tasks is highlighted.

Keywords

Cite

@article{arxiv.2405.05240,
  title  = {An LSTM-Based Chord Generation System Using Chroma Histogram Representations},
  author = {Jack Hardwick},
  journal= {arXiv preprint arXiv:2405.05240},
  year   = {2024}
}

Comments

6 pages, 4 figures, 1 table

R2 v1 2026-06-28T16:21:04.951Z