On the Typicality of Musical Sequences
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Abstract (arXiv)
It has been shown in a recent publication that words in human-produced English language tend to have an information content close to the conditional entropy. In this paper, we show that the same is true for events in human-produced monophonic musical sequences. We also show how "typical sampling" influences the distribution of information around the entropy for single events and sequences.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 5 of its 11 references that are in the map. First posted on arXiv 23 Nov 2022.
Builds on
5 of 11 references.
References · 5
- 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,530
- 2018Self-Attention with Relative Position Representationscited by 1,112
- 2018This Time with Feeling: Learning Expressive Musical Performancecited by 67
- 2016Music transcription modelling and composition using deep learningcited by 36
- 2022On the probability-quality paradox in language generationcited by 16
Built on by
Citing papers per year: 2023: 1; 2024: 0; 2025: 1.
2 papers.