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Large-Vocabulary Chord Transcription via Chord Structure Decomposition — Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019)

Revision 125cca90-f8e1-469b-bb3f-a18c397eb5d5 · 11/10/2026, 11:55:20 PM UTC
Key
jiang2019-chord-decomposition
Authors
Jiang, Junyan; Chen, Ke; Li, Wei; Xia, Gus
Issued
2019
Type
paper-conference
Container
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019)
Pages
644-651
Raw CSL JSON
{
  "DOI": "10.5281/zenodo.3527892",
  "URL": "https://archives.ismir.net/ismir2019/paper/000078.pdf",
  "page": "644-651",
  "type": "paper-conference",
  "title": "Large-Vocabulary Chord Transcription via Chord Structure Decomposition",
  "author": [
    {
      "given": "Junyan",
      "family": "Jiang"
    },
    {
      "given": "Ke",
      "family": "Chen"
    },
    {
      "given": "Wei",
      "family": "Li"
    },
    {
      "given": "Gus",
      "family": "Xia"
    }
  ],
  "issued": {
    "date-parts": [
      [
        2019
      ]
    ]
  },
  "event-place": "Delft, Netherlands",
  "container-title": "Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019)"
}

Claims

  1. The Billboard dataset contains 230 different chord qualities, or 2,749 distinct chord classes.
    "contains 230 different chord qualities, or equivalently, 2,749 distinct chord classes"
    Locator: page: 644 · Quote language: en
  2. Jiang and colleagues decompose each chord label into components such as triad, bass and seventh, each with a much smaller vocabulary, recognize them with a multitask classifier, and reassemble the full label.
    "The core concept is to decompose any chord label into a set of musically meaningful components (e.g., triad, bass, seventh), each with a much smaller vocabulary compared to the size of the overall chord vocabulary."
    Locator: page: 644 · Quote language: en
  3. Classifying each frame independently tends to produce excessive chord changes, because there is no transition penalty between frames.
    "this approach tends to produce excessive chord changes as there is no transition penalty between two frames."
    Locator: page: 646 · Quote language: en
  4. In the Billboard dataset, the most frequent 10% of chord qualities cover 93.86% of the data, while the least frequent half cover only 0.35%.
    "While the first 10% chord qualities cover 93.86% of the data, the last 50% chord qualities only cover 0.35% of the data altogether"
    Locator: page: 644 · Quote language: en
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