mlsanityData to 7 Oct 2026

Pitchclass2vec: Symbolic Music Structure Segmentation with Chord Embeddings

arXiv 2303.15306 ↗First posted 24 Mar 2023cs.SD cs.AI cs.LGcited by 4

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Abstract (arXiv)

Structure perception is a fundamental aspect of music cognition in humans. Historically, the hierarchical organization of music into structures served as a narrative device for conveying meaning, creating expectancy, and evoking emotions in the listener. Thereby, musical structures play an essential role in music composition, as they shape the musical discourse through which the composer organises his ideas. In this paper, we present a novel music segmentation method, pitchclass2vec, based on symbolic chord annotations, which are embedded into continuous vector representations using both natural language processing techniques and custom-made encodings. Our algorithm is based on long-short term memory (LSTM) neural network and outperforms the state-of-the-art techniques based on symbolic chord annotations in the field.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 12 of its 58 references that are in the map. First posted on arXiv 24 Mar 2023.

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12 of 58 references.

References · 12

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 2; 2025: 0; 2026: 1.

4 papers.

  1. 2024Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Surveycited by 10
  2. 2024Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generationcited by 6
  3. 2023Combinatorial music generation model with song structure graph analysiscited by 0
  4. 2026Emergent Tonal Structure in Learned Chord Embeddings and Its Relation to Tonal Tensioncited by 0