2010
DOI: 10.1007/978-3-642-11674-2_16 View full text |Buy / Rent full text
|
|

Abstract: We introduce the MIR task of segmenting melodies into phrases, summarise the musicological and psychological background to the task and review existing computational methods before presenting a new model, IDyOM, for melodic segmentation based on statistical learning and information-dynamic analysis. The performance of the model is compared to several existing algorithms in predicting the annotated phrase boundaries in a large corpus of folk music. The results indicate that four algorithms produce acceptable re… Show more

Help me understand this report

Search citation statements

Order By: Relevance
Select...
4
24
0

Publication Types

Select...

Relationship

0
0

Authors

Journals