Tunerank model for main melody extraction from multi-part musical scores

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A musical part is a strand of music played by an individual instrument within a larger music work, main melody is a single musical part which consists of the most significant melodic elements of multi-part musical score. This part is typically related to dissonance between musical parts and musical instruments. In this paper, we propose a novel model for extracting the main melody from multi-part musical scores. This model is referred to as the TuneRank model that has the conceptually similar idea of the PageRank model. If each musical note can be considered like a web page in the Internet, and the dissonance value between two notes is like the quantity of links between two web pages. The TuneRank (rank of becoming main melody) of each note is calculated using Markov transition probability. This model is tested on the ECPK4 database. By comparing to the previous work, we find that this note-based model is more effective for processing scores containing main melody in multiple parts. Also, the accuracy does not change with the increase of the number of parts. In general, this model can be used for extracting the single-part main melody of digital musical scores.

Original languageEnglish
Title of host publicationProceedings - 2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages176-180
Number of pages5
ISBN (Electronic)9781479949557
DOIs
StatePublished - 25 Sep 2014
Event2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2014 - Hangzhou, China
Duration: 26 Aug 201427 Aug 2014

Publication series

NameProceedings - 2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2014
Volume2

Conference

Conference2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2014
Country/TerritoryChina
CityHangzhou
Period26/08/1427/08/14

Keywords

  • Melody extraction
  • Musical score
  • PageRank
  • TuneRank

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