Melody Track Selection Using Discriminative Language Model

Xiao WU  Ming LI  Hongbin SUO  Yonghong YAN  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E91-D   No.6   pp.1838-1840
Publication Date: 2008/06/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e91-d.6.1838
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Music Information Processing
Keyword: 
melody style,  melody track selection,  melody extraction,  

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Summary: 
In this letter we focus on the task of selecting the melody track from a polyphonic MIDI file. Based on the intuition that music and language are similar in many aspects, we solve the selection problem by introducing an n-gram language model to learn the melody co-occurrence patterns in a statistical manner and determine the melodic degree of a given MIDI track. Furthermore, we propose the idea of using background model and posterior probability criteria to make modeling more discriminative. In the evaluation, the achieved 81.6% correct rate indicates the feasibility of our approach.