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Melody Track Selection Using Discriminative Language Model
Xiao WU Ming LI Hongbin SUO Yonghong YAN
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/06/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Music Information Processing
melody style, melody track selection, melody extraction,
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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.