Problem
Research questions and friction points this paper is trying to address.
symbolic melody
music-theoretic features
psychological features
feature extraction
Computational Features for Symbolic Melody Analysis
🤖 AI Summary
本文解决了从符号编码旋律中提取音乐理论和心理特征的问题，通过开发一个Python软件库实现特征提取，并在民歌集上进行风格分类。
📝 Abstract
This paper addresses the general problem of extracting music-theoretic and psychological features from symbolically encoded melodies. We review existing melodic feature extraction toolboxes, enumerate their features, and organise them into a common taxonomy. We then describe a new software library that provides implementations of all of these features in a straightforward Python package. We then demonstrate the combined feature set on the Essen Folksong Collection, using the dataset to produce a series of style classification models. These models help us answer key questions about the interpretability and dimensionality of the feature set. Our results show excellent classification accuracy using the full feature set, and promising performance for an eight-dimensional factor-analytic solution that improves the interpretability of the classifier. We distribute our new toolbox as an open-source Python package, $\mathtt{melody-features}$, which can easily be used in various applications within music analysis, music psychology, and music information retrieval.
Innovation
Methods, ideas, or system contributions that make the work stand out.
symbolic melody analysis
feature extraction
style classification
factor-analytic solution
open-source Python package
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