An Attentional Neural Network Architecture for Folk Song Classification
Table 1: Comparison of motif pairs based on cosine similarity.
['Intervallic Motif Embeddings Motif 1', 'Intervallic Motif Embeddings Motif 2', 'Intervallic Motif Embeddings Cosine distance']
Cosine similarity measures show how melodic context alone can be used to model high quality motif embeddings. All intervallic motifs in the table have the same intervals, either in reverse order or by altering the descending direction with ascending or viceversa. For instance, motid 21_20_20 is composed of an ascending major second and two descending major seconds. The most similar motif, with cosine similarity of 0.996, is a permutation of the first and second interval 20_21_20.