Abstract
We outline a solution to the challenge of musical phrase segmentation that uses grammatical induction algorithms, a class of algorithms which infer a context-free grammar from an input sequence. We analyze the performance of five grammatical induction algorithms on three datasets using various musical viewpoint combinations. Our experiments show that the LONGESTFIRST algorithm achieves the best F1 scores across all three datasets and that input encodings that include the duration viewpoint result in the best performance.
Keywords
- Application domains: Music and sound
- Methods and resources: AI systems for ideation
- Methods and resources: Datasets, knowledge bases and ontologies
- Methods and resources: Other methods or resources
- Theory and philosophy of arts and creativity in AI systems: Autonomous creative or artistic AI
