Guitar Chord Diagram Suggestion for Western Popular Music
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866929427617677312 |
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| author | d'Hooge, Alexandre Bigo, Louis Déguernel, Ken Martin, Nicolas |
| author_facet | d'Hooge, Alexandre Bigo, Louis Déguernel, Ken Martin, Nicolas |
| contents | Chord diagrams are used by guitar players to show where and how to play a chord on the fretboard. They are useful to beginners learning chords or for sharing the hand positions required to play a song.However, the diagrams presented on guitar learning toolsare usually selected from an existing databaseand rarely represent the actual positions used by performers.In this paper, we propose a tool which suggests a chord diagram for achord label,taking into account the diagram of the previous chord.Based on statistical analysis of the DadaGP and mySongBook datasets, we show that some chord diagrams are over-represented in western popular musicand that some chords can be played in more than 20 different ways.We argue that taking context into account can improve the variety and the quality of chord diagram suggestion, and compare this approach with a model taking only the current chord label into account.We show that adding previous context improves the F1-score on this task by up to 27% and reduces the propensity of the model to suggest standard open chords.We also define the notion of texture in the context of chord diagrams andshow through a variety of metrics that our model improves textureconsistencywith the previous diagram. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2407_14260 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Guitar Chord Diagram Suggestion for Western Popular Music d'Hooge, Alexandre Bigo, Louis Déguernel, Ken Martin, Nicolas Sound Artificial Intelligence Information Retrieval Machine Learning Chord diagrams are used by guitar players to show where and how to play a chord on the fretboard. They are useful to beginners learning chords or for sharing the hand positions required to play a song.However, the diagrams presented on guitar learning toolsare usually selected from an existing databaseand rarely represent the actual positions used by performers.In this paper, we propose a tool which suggests a chord diagram for achord label,taking into account the diagram of the previous chord.Based on statistical analysis of the DadaGP and mySongBook datasets, we show that some chord diagrams are over-represented in western popular musicand that some chords can be played in more than 20 different ways.We argue that taking context into account can improve the variety and the quality of chord diagram suggestion, and compare this approach with a model taking only the current chord label into account.We show that adding previous context improves the F1-score on this task by up to 27% and reduces the propensity of the model to suggest standard open chords.We also define the notion of texture in the context of chord diagrams andshow through a variety of metrics that our model improves textureconsistencywith the previous diagram. |
| title | Guitar Chord Diagram Suggestion for Western Popular Music |
| topic | Sound Artificial Intelligence Information Retrieval Machine Learning |
| url | https://arxiv.org/abs/2407.14260 |